CN108023677B - Information processing method, device and wireless communication device - Google Patents

Abstract

The present application provides a data transmission method and a wireless communication device. Wherein, the method includes: acquiring a first base matrix of the LDPC code; and encoding an information sequence according to the first base matrix, the spreading factor z _f and the free factor r _f to obtain a first coding sequence. Using the method and device provided by the present application, by introducing the free factor r _f as a degree of freedom, a completely different second fundamental matrix structure distribution can be obtained when the second fundamental matrix corresponding to the expansion factor z _f is generated, thereby The problem that the generated second basis matrix has a high level of error under the expansion factor z _f can be alleviated.

Description

Information processing method, device and wireless communication device

This application requires a Chinese patent application filed with the China Patent Office on November 3, 2016, the application number is 201610973373.6, and the invention title is "Low Density Parity Check Code Fundamental Matrix Generation Method and Wireless Communication Device", November 9, 2016 On December 12, 2016, it was submitted to the China Patent Office with the application number of 201610985850.0, and the invention name is "Basic Matrix Generation Method of Low Density Parity Check Code and Wireless Communication Device". 201611141250.2, a Chinese patent application titled "Data Transmission Method and Wireless Communication Device", and a Chinese patent application filed with the Chinese Patent Office on January 6, 2017 with the application number 201710010645.7 and the invention titled "Data Transmission Method and Wireless Communication Device" Priority to the patent application, the entire contents of which are incorporated herein by reference.

technical field

The embodiments of the present invention relate to the field of communications, and in particular, to a method, an apparatus, and a wireless communication device for information processing.

Background technique

A low density parity check (low density parity check, LDPC for short) code is a type of linear block coding with a sparse check matrix. Because LDPC not only has good performance approaching the Shannon limit, but also has the characteristics of flexible structure and low decoding complexity, so it can be widely used in various communication systems.

When using LDPC for data transmission, it is first necessary to construct a basis matrix for the wireless communication device. In a wireless communication system, different sizes of radio resource blocks (resource blocks, RBs) may be allocated to wireless communication devices according to different transmission requirements. vary. In order to make the wireless communication device compatible with LDPC of different code lengths, a base matrix composed of matrix elements of m rows and n columns can be generated in advance, where m=n-k, and the product of k and the spreading factor is the length of the information sequence in the LDPC, The values of m, n, and k are all positive integers, and are preset to expansion factors corresponding to each LDPC length. After the LDPC length is determined, the data transmission device first obtains a spreading factor corresponding to the code length, and then uses the spreading factor to expand the base matrix, thereby obtaining a parity check matrix corresponding to the code length. In this way, when the LDPC lengths are different, different parity check matrices can be obtained on the basis of the base matrix, so that the wireless communication device can support LDPCs with different code lengths.

However, when the same base matrix is expanded by using multiple different expansion factors, it is usually difficult to ensure that each check matrix formed has a good ring length characteristic, for example, the number of 4 rings is small. Under certain spreading factors, the base matrix generated by expanding the base matrix will have a relatively high level of error, thereby affecting the reliability of data transmission using the LDPC with the code length corresponding to the spreading factor.

SUMMARY OF THE INVENTION

The present application provides an information processing method, device and wireless communication device, so as to alleviate the problem that the basis matrix generated by expanding the basis matrix will have a relatively high level of error under certain expansion factors. data, the reliability of its transmission has been improved.

In a first aspect, the present application provides a method for generating a low-density parity check code check matrix, the method comprising: obtaining a first basis matrix of an LDPC code, where m is the number of rows of the first basis matrix, and n is the number of columns of the first base matrix; obtain the expansion factor z _f of the first base matrix, where z _f is a positive integer; generate the second base matrix of the LDPC code, where m is The number of rows of the second base matrix, n is the number of columns of the second base matrix, the positions of the matrix elements equal to -1 in the first base matrix and the matrix elements equal to -1 in the second base matrix In the same way, there is at least one matrix element p _{f,i,j in} the i-th row and the j-th column in the second base matrix. generated by the above z _f and the free factor r _f , where p _f,i,j <z _f , r _f , m,n,i,j are all integers, 0≤i<m, 0≤j< n.

With this implementation, by introducing the free factor r _f as a degree of freedom, and by transforming the free factor r _f , a completely different matrix structure distribution can be obtained when the second basis matrix corresponding to the expansion factor z _f is generated. Therefore, when the base matrix error leveling of the base matrix obtained by directly using the expansion factor _zf to expand the first base matrix is relatively high, by changing the matrix structure distribution, a second base matrix with a lower error leveling level can be obtained, and the expansion factor z can be alleviated. The generated second basis matrix described under _f has the problem of high error leveling.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the ring length characteristic of the second basis matrix is better than or equal to the first basis matrix.

In combination with the first possible implementation manner of the first aspect, in the second possible implementation manner of the first aspect,

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

In the above method, p _f,i,j are integers:

或者

其中c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

或者

其中，c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者

或者，

or

or,

或者

or

In each of the above implementation manners, c may generally be an integer power of 2, or may be z _max , where z _max is the maximum value of the expansion factor z _f to be supported by the first basis matrix.

With reference to the first aspect or one to two possible implementation manners of the first aspect, in a third possible implementation manner of the first aspect, before the acquiring the second basis matrix of the LDPC code, further comprising: acquiring and The free factor r _f corresponding to the expansion factor z _f described above.

With reference to the first aspect to or one to three possible implementation manners of the first aspect, in a fourth possible implementation manner of the first aspect, the method further includes: using the second basis matrix to encode the sequence to be encoded, so as to obtain the first coding sequence.

With reference to the first aspect to or the first to three possible implementation manners, in a fifth possible implementation manner of the first aspect, the method further includes: acquiring a second coding sequence; The two coding sequences are decoded.

In a second aspect, the present application also provides a method for data transmission, the method comprising: acquiring a first basis matrix of a low density parity check LDPC code, wherein m is the number of rows of the first basis matrix, and n is the number of rows of the first basis matrix. The number of columns of the first base matrix, m and n are all positive integers;

The information sequence is encoded according to the first base matrix, the expansion factor z _f and the free factor r _f to obtain the first encoded sequence, wherein the value of z _f is a positive integer, and the value of r _f is greater than or equal to 0 Integer.

In combination with the second aspect, in a first possible implementation manner of the second aspect, the information sequence is encoded according to the first base matrix, the expansion factor z _f and the free factor r _f to obtain the first encoded sequence, including: Calculate p _f,i,j for each i-th row and j-th column of the matrix element p _i,j , the expansion factor z _f and the free factor r _f in the first basis matrix, where p _{f,i, j} <z _f , the values of i, j are all integers, 0≤i<m, 0≤j<n; the information sequence is encoded according to p _{f, i, j} to obtain the first encoded sequence.

In combination with the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the method further includes: sending the first encoding sequence.

In a third aspect, the present application further provides a method for data transmission, the method comprising: acquiring a first basis matrix of a low density parity check LDPC code, wherein m is the number of rows of the first basis matrix, and n is the number of rows of the first basis matrix. The number of columns of the first base matrix, m and n are all positive integers;

The information sequence is obtained by decoding the first coded sequence according to the first base matrix, the expansion factor z _f and the free factor r _f , wherein the value of z _f is a positive integer, and the value of r _f is greater than or equal to 0 the integer.

With reference to the third aspect, in a first possible implementation manner of the third aspect, the information sequence is obtained by decoding the second encoded sequence according to the first base matrix, the expansion factor z _f and the free factor r _f , including: for Calculate p _f,i,j from the matrix element p _i,j of each i-th row and j-th column of the first basis matrix, the expansion factor z _f and the free factor r _f , where p _f,i,j <z _f , the values of i and j are all integers, 0≤i<m, 0≤j<n; the information sequence is obtained by decoding the second coding sequence according to p _f,i,j .

With reference to the third aspect or the first possible implementation manner of the third aspect, in a second possible implementation manner of the third aspect, the method further includes: receiving the first encoding sequence.

In combination with the above aspects and various possible implementation manners, a possible implementation manner is:

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

In the above method, p _f,i,j are integers:

或者

其中c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

或者

其中，c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者

或者，

or

or,

或者

or

In each of the above implementation manners, c may generally be an integer power of 2, or may be z _max , where z _max is the maximum value of the expansion factor z _f to be supported by the first basis matrix.

In combination with the above aspects and various possible implementation manners, a possible implementation manner is:

其中，g₁(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₂(z_f)表示以z_f为参数的函数，且g₂(z_f)≤z_f，取值为整数。p _f,i,j satisfy the following formula:

Among them, g ₁ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₂ (z _f ) represents a function with z _f as a parameter, and g ₂ (z _f )≤z _f , which is an integer.

In combination with the above implementations, in a possible implementation, g ₁ (pi _,j ,r _f ) may satisfy the following formula:

或者

其中c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

或者

其中，c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

g ₁ (pi _,j ,r _f )=pi _,j +(cp _i,j )r _f , where c is a constant and not equal to 0; or,

或者

或者，

or

or,

或者

or

In combination with the above implementations, in a possible implementation, g ₂ (z _f ) may satisfy the following formula: g ₂ (z _f )=z _f or,

In each of the above implementation manners, c may generally be an integer power of 2, or may be z _max , where z _max is the maximum value of the expansion factor z _f to be supported by the first basis matrix.

Combining the above aspects and various possible implementations, a possible implementation is: p _f,i,j satisfy the following formula:

其中，g₃(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₄(z_f)表示以z_f为参数的函数，且0＜g₄(z_f)≤1。

Among them, g ₃ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₄ (z _f ) represents a function with z _f as a parameter, and 0< g ₄ (z _f )≤1.

Combining the above implementations, in a possible implementation, g ₃ (pi _,j ,r _f ) satisfies the following formula:

g ₃ (pi _,j ,r _f )=(pi _,j +r _f )modc, where c is a constant and not equal to 0; or,

g ₃ (pi _,j ,r _f )=(pi _,j ·r _f )modc, where c is a constant and not equal to zero.

Combining the above implementations, in a possible implementation, g ₄ (z _f ) satisfies the following formula:

其中，c为常数，且不等于0。g ₄ (z _f )=z _f /c; or,

where c is a constant and not equal to 0.

In each of the above implementation manners, c may generally be an integer power of 2, or may be z _max , where z _max is the maximum value of the expansion factor z _f to be supported by the first basis matrix.

In a fourth aspect, the present application also provides a wireless communication device, the wireless communication device may include unit modules for executing the methods described in the foregoing aspects and various implementations, for example, an acquisition unit, a processing unit, a sending unit unit etc. The function to be implemented by the acquisition unit may be implemented by a transceiver of the wireless communication device, or implemented by a processor-controlled transceiver; the function to be implemented by the sending unit may also be implemented by the transceiver of the wireless communication device, Alternatively, the transceiver may be controlled by a processor to be implemented; the functions to be implemented by the processing unit may be implemented by the processor.

In a fifth aspect, the present application also provides a wireless communication device, the wireless communication device may include unit modules for executing the methods described in the foregoing aspects and various implementations, for example, an acquisition unit, a processing unit, a receiving unit unit etc. The function to be implemented by the acquisition unit may be implemented by a transceiver of the wireless communication device, or implemented by a processor-controlled transceiver; the function to be implemented by the receiving unit may also be implemented by the transceiver of the wireless communication device, Alternatively, the transceiver may be controlled by a processor to be implemented; the functions to be implemented by the processing unit may be implemented by the processor.

In a sixth aspect, the present application further provides a storage medium, and the computer storage medium can store a program, and when the program is executed, it can include various embodiments of the second basis matrix generation method, the encoding method or the decoding method provided by the present application some or all of the steps in .

Using the method and device provided in this application, by introducing the free factor r _f as a degree of freedom, and by transforming the free factor r _f , a completely different matrix can be obtained when the second basis matrix corresponding to the expansion factor z _f is generated. structural distribution. Therefore, when the base matrix error leveling of the base matrix obtained by directly using the expansion factor _zf to expand the first base matrix is relatively high, by changing the matrix structure distribution, a second base matrix with a lower error leveling level can be obtained, and the expansion factor z can be alleviated. The generated second base matrix described in _f below has the problem of high error leveling, which improves the reliability of data transmission.

Description of drawings

In order to illustrate the technical solutions of the present application more clearly, the accompanying drawings that need to be used in the embodiments will be briefly introduced below. Other drawings can also be obtained from these drawings.

1 is a schematic flowchart of an embodiment of a method for generating a basis matrix of an LDPC code of the application;

FIG. 2 is a schematic diagram of an embodiment of the first basis matrix of the present application;

3 is a schematic flowchart of an embodiment of the coding method of the present application;

FIG. 4 is a schematic flowchart of an embodiment of the decoding method of the present application;

FIG. 5 is a schematic structural diagram of an embodiment of a wireless communication device of the present application;

FIG. 6 is a schematic structural diagram of another embodiment of a wireless communication device of the present application.

Detailed ways

The embodiments of the present application may be applied to a wireless communication system including wireless communication devices such as network devices and terminal devices (terminal devices or terminal equipment). For example, the LTE system, or other wireless communication systems using various wireless access technologies, such as code division multiple access, frequency division multiple access, time division multiple access, orthogonal frequency division multiple access, single carrier frequency division multiple access, etc. system, and subsequent evolution systems, such as fifth-generation (5G) systems, etc. The wireless communication device mentioned in the embodiments of this application may be any device in a wireless communication system, such as a network device or a terminal device.

The terminal device may be a device that provides voice or data connectivity to the user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem. A wireless terminal may communicate with one or more core networks via a radio access network (RAN), and the wireless terminal may be a mobile terminal, such as a mobile phone (or "cellular" phone) and a mobile phone with a mobile terminal. Computers, for example, may be portable, pocket-sized, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange language and/or data with the wireless access network. For example, personal communication service (PCS) phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (personal digital assistants) assistant, referred to as PDA) and other equipment. A wireless terminal may also be referred to as a system, a subscriber unit (SU for short), a subscriber station (SS for short), a mobile station (MS for short), a remote station (RS for short), an access access point (AP), remote terminal (RT), access terminal (AT), user terminal (UT), user agent (UA), User equipment, or user equipment (user equipment, UE for short).

The network device may be a base station, or an access point, or may refer to a device in an access network that communicates with a wireless terminal over an air interface through one or more sectors. The base station can be used to convert received air frames and IP packets to each other, and act as a router between the wireless terminal and the rest of the access network, where the rest of the access network can include an Internet protocol (IP) network . The base station may also coordinate attribute management of the air interface. For example, the base station may be a base station (Base Transceiver Station, BTS for short) in GSM or CDMA, a base station (NodeB) in WCDMA, or an evolved base station (evolutional Node B, eNodeB for short) in LTE. The application is not limited.

表示对数值向上取整，

表示对数值向下取整，mod表示取模运算。In each embodiment of this specification,

Indicates that the logarithmic value is rounded up,

Indicates that the value is rounded down, and mod represents the modulo operation.

Referring to FIG. 1 , it is a schematic flowchart of an embodiment of an information processing method of the present application. The generation method shown in this embodiment may be performed by a wireless communication device.

Step 101, the wireless communication device acquires the first basis matrix of the LDPC code.

或者也可以其它值。为便于描述，所述第一基矩阵的各行可以分别用第0行至第m-1行表示，所述第一基矩阵的各列可以分别用第0列至第n-1列表示。位于所述第一基矩阵第i行第j列的矩阵元素可以表示为p_i,j。The first base matrix may include matrix elements with m rows and n columns, and the code rate may be

Or other values are also possible. For convenience of description, each row of the first basis matrix may be represented by the 0th row to the m-1th row, respectively, and each column of the first basis matrix may be represented by the 0th column to the n-1th column, respectively. The matrix element located at the i-th row and the j-th column of the first base matrix may be represented as p _i,j .

The wireless communication device may directly obtain the first basis matrix from other devices; or, it may first obtain the number of rows m and the number of columns n, and then use density evolution theory or progressive edge growth (PEG for short) ) method to construct the first basis matrix. Wherein, the values of m and n may be determined according to the data transmission requirement of the wireless communication device. The acquisition method or construction method of the basis matrix will not be repeated here.

Step 102, obtaining the expansion factor z _f .

In addition to the need to obtain the first basis matrix, the wireless communication device also needs to obtain the spreading factor z _f . The value of the spreading factor z _f may be determined by the code length of the coding sequence. Generally speaking, the product of the value of z _f and the number of columns of the base matrix is the code length of the coding sequence, and the coding sequence may be a sequence obtained after the information sequence is coded.

The expansion factor z _f can be any expansion factor that the first basis matrix needs to support, or it can also be among the expansion factors that the first basis matrix needs to support. Expanding the first basis matrix directly will generate an error A certain expansion factor of the second basis matrix with a higher level. The higher error leveling may mean that the error leveling is higher than a predetermined limit value, and the predetermined limit value may be determined according to the actual demand of data transmission.

Wherein, the expansion factor z _f is a positive integer, and needs to be smaller than the maximum expansion factor z _max supported by the base matrix, and the value of z _max is a preset positive integer. Wherein, z _max is determined by the maximum value of the code length of the coding sequence, and the product of z _max and the number of columns of the base matrix is the maximum value of the code length of the coding sequence. For example, if the base matrix includes 30 columns and the maximum code length of the encoded sequence is 9600, then the maximum value of the spreading factor z _max supported by the base matrix is 320, and the value of z _f can be any one of 1 to 320 .

Step 103: Generate a second basis matrix of the LDPC code.

After acquiring the first basis matrix and the expansion factor z _f , the wireless communication device may generate a second basis matrix corresponding to the expansion factor z _f , wherein the number of rows of the second basis matrix is still m, The number of columns of the second base matrix is still n. When generating the second basis matrix, the wireless communication device may replace each matrix element whose value is not -1 in the first basis matrix with a corresponding replacement element, wherein each replacement element may be a wireless communication device Replacement elements generated from matrix elements and expansion factors z _f and free factors r _f . Wherein, the matrix element located in the i-th row and the j-th column of the first base matrix can be represented by p _i,j , and the replacement element corresponding to the matrix element located in the i-th row and the j-th column in the second base matrix can be represented by p _{f, i, j} represent.

The position of the matrix element equal to -1 in the first base matrix is the same as that of the matrix element equal to -1 in the second base matrix, and the second base matrix has at least one matrix element p _f in the i-th row and the j-th column _,i,j are generated according to the matrix element p _i,j of the i-th row and the j-th column of the first basis matrix, the z _f and the free factor r _f , wherein the pf _,i,j <z The values of _f , r _f , m, n, i, and j are all integers, 0≤i<m, 0≤j<n. The ring length characteristic of the second basis matrix may be better than or equal to that of the first basis matrix. Among them, for two matrices A and B, if l represents the ring length, A(l) represents the number of rings of length l in matrix A, and B(l) represents the number of rings of length l in matrix B, as follows The method can determine the matrix with excellent ring length characteristics:

l=4;

Compare A(l) and B(l): (1)

If A(l) is less than B(l), the loop length characteristic of matrix A is better than that of matrix B, and the comparison ends;

If A(l) is greater than B(l), the loop length characteristic of matrix B is better than that of matrix A, and the comparison is ended;

If A(l) is equal to B(l):

If l reaches its maximum value:

Then the ring length characteristic of matrix A is equal to the ring length characteristic of matrix B, and the comparison is ended;

Otherwise l is equal to l+2, return to (1).

It should be noted that the method of comparing the loop length characteristics of the above-mentioned matrix is also applicable to other embodiments of the present invention.

For example, if the number of 4 rings of the second basis matrix is smaller than the number of 4 rings of the first basis matrix, it means that the ring length characteristic of the second basis matrix is better than that of the first basis matrix. For another example, if the number of 4 rings of the second basis matrix is equal to the number of 4 rings of the first basis matrix, then further compare the number of 6 rings of the two, if the number of 6 rings of the second basis matrix is less than the number of 6 rings of the first basis matrix number, it means that the ring length characteristic of the second basis matrix is better than that of the first basis matrix. For another example, if the number of 4 rings and 6 rings of the second basis matrix and the first basis matrix are respectively equal, and the 6 rings have reached the maximum ring length, it means that the ring length characteristics of the second basis matrix and the first basis matrix are equal. It should be noted that, the examples here are only for convenience, and the embodiments of the present invention are not limited thereto.

In order to ensure that the finally generated second basis matrix has lower error leveling than the first basis matrix, the ring length characteristic of the second basis matrix may be better than or equal to the first basis matrix. In order to make the ring length characteristic of the second basis matrix better than that of the first basis matrix, the replacement elements p _{f, i, j} also need to satisfy: replace the matrix elements p _{i, j} with the corresponding replacement elements p After _{f, i, j} , at least one ring in the matrix before replacement can be eliminated. That is, if in the pre-replacement matrix, (a ₁ -a ₂ +a ₃ -a ₄ +...-a _l )%z _f =0, where a ₁ ,a ₂ ,a ₃ ,a ₄ ,. ..,a _l is each matrix element on any ring of length l in the matrix before replacement, and l is an even number greater than or equal to 4; then in the matrix after replacement, (a ₁ '-a ₂ '+a ₃ '-a ₄ '+...-a _l ')%z _f ≠0, where a ₁ ',a ₂ ',a ₃ ',a ₄ ',...,a _l ' are in the matrix after replacement , and the position of a _q ' in the matrix after replacement is the same as the position of a _q in the matrix before replacement, q=1, 2, 3, 4, ..., l. The pre-replacement matrix is a matrix before the elements p _i,j are replaced by p _f,i,j , and the post-replacement matrix is a matrix generated after the elements p _i,j are replaced by p _f,i,j .

p _f,i,j may be generated by the wireless communication device using a preset generating function, wherein the preset generating function may be expressed as y(pi _,j ,z _f ,r _f ), that is, p _{f,i, j} =y(pi _,j , _zf , _rf ). Among them, r _f is a free factor, which can be a random value; the values of r _f , m, n, i, and j are all integers, 0≤i<m, 0≤j<n.

其中，c为预设常数；或者，所述预设生成函数

其中z_max为第一基矩阵所支持的扩展因子最大值；或者，所述预设生成函数

或者，所述预设生成函数

在此需要说明的是，上述仅是对预设生成函数的一些举例，符合预定条件的生成函数还有多种，在此就不再一一列举。The preset generating function p _f,i,j =y(pi _,j ,z _f ,r _f ) may include multiple types. For example, the preset generating function

Wherein, c is a preset constant; or, the preset generating function

where z _max is the maximum expansion factor supported by the first basis matrix; or, the preset generating function

Or, the preset generating function

It should be noted here that the above are only some examples of the preset generating functions, and there are many kinds of generating functions that meet the predetermined conditions, which will not be listed one by one here.

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

In the above formula, c is a constant and is not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, or take a value of z _max .

It should be noted that the above are only examples, and are not limited thereto.

Since the output parameters of the preset generating function include p _i,j , z _f , r _f , where p _i,j , z _f have all been determined, according to the different values of r _f , the final generated second basis matrix are also different, and the performance of each second basis matrix is also different. Therefore, the wireless communication device can also select an appropriate r _f , so that the performance of the finally generated second basis matrix is better.

The wireless communication device may first acquire k candidate free factors, and the k candidate free factors may be acquired by the wireless communication device from other devices, or may be randomly generated by the wireless communication device. Since the values of p _i,j , z _f have been determined, after acquiring k candidate free factors, the wireless communication device can generate k candidate matrices respectively, wherein each candidate matrix is related to one of the candidate free factors. The free factors correspond; and then the one with the best loop length characteristic is selected from the candidate matrices as the second basis matrix. Among them, if the ring length characteristics of one candidate matrix are better than the ring length characteristics of other k-1 candidate matrices, then the ring length characteristics of this candidate matrix are optimal, that is, the candidate matrix is used as the second basis matrix. , if there are s alternative matrices, s is greater than 1 and less than k+1, the ring length characteristics of these s alternative matrices are equal, and they are all better than the other k alternative matrices, then select one of them as the second basis matrix , for example, one can be selected as the second basis matrix according to the actual performance simulation.

The k-th candidate matrix corresponding to the k-th candidate free factor is replaced by the k-th replacement element corresponding to the k-th candidate free factor after each matrix element in the first base matrix that is not -1 is replaced. generate.

Wherein, the k-th replacement element p _f,k,i,j corresponding to the matrix element p _i,j in the i-th row and the j-th column of the first base matrix is generated by the preset function p _f,i,j =y (p _i,j ,z _f ,r _{f ,k} ) is generated, and the output range of the preset generation function p _f,i,j =y(pi _,j ,z _f ,r _fk ) is p _{f,i ,j} <z _f , r _fk is the kth candidate free factor, m, n, i, j are all integers, 0≤i<m, 0≤j<n.

The applicant has found through research that there is an r _f for each z _f , which can make the ring length characteristic of the second basis matrix generated by replacing p _i,j with p _f,i,j better than directly using z _f for the second basis matrix. A second basis matrix obtained by expanding a basis matrix.

For example, when the first basis matrix is shown in Figure 2, the corresponding relationship between z _f and r _f can be shown in Table 1. It should be noted here that in Table 1, the representation of z _f is Decimal, while the representation of r _f is hexadecimal.

Table 1

Since the corresponding relationship between z _f and r _f can also be determined correspondingly after the first basis matrix is determined, the corresponding relationship between z _f and r _f can be stored in the memory of the wireless communication device. When the second basis matrix needs to be generated, after obtaining the z _f , the wireless communication device can directly obtain the corresponding r _f .

Using the method provided in this embodiment, on the basis of using the expansion factor z _f to construct the second fundamental matrix, a free factor r _f is introduced as a degree of freedom, and a completely different LDPC matrix structure can be obtained by adjusting the value of r _f distribution, so as to obtain second basis matrices with different error levels, which can reduce the problem that the second basis matrix generated by expanding the basis matrix will have relatively high error leveling under certain expansion factors. Compared with the method of using multiple matrices to realize the construction of continuous code length, it only needs to store an additional r _f table, which requires less storage space and is simple to describe.

The technical solution provided in this application, by improving the calculation method of the shift factor under different expansion factors, can realize a series of lengths of low-error leveling LDPC with the first basis matrix. Compared with the traditional calculation method of the shift factor, the Effectively eliminates dead pixels and ensures that the parity check matrix generated under all expansion factors has a lower error level.

Referring to FIG. 3 , it is a schematic flowchart of an embodiment of an information processing method of the present application. The wireless communication device may use the second basis matrix generated by the foregoing embodiments for encoding.

If the wireless communication device is a transmitting end device, after generating the second basis matrix, the wireless communication device may use the second basis matrix to encode the sequence to be encoded. Therefore, when the wireless communication device is a transmitter device, as shown in FIG. 3 , after step 103, it may further include:

Step 104: Use the second basis matrix to encode the sequence to be encoded, thereby obtaining a first encoded sequence.

After the second basis matrix is generated, the wireless communication device may use the second basis matrix to encode the sequence to be encoded. The sequence to be encoded may be acquired by the wireless communication device before generating the second basis matrix, or may also be acquired by the wireless communication device after generating the second basis matrix. It should be noted here that the present application also does not limit the execution sequence between step 101 and step 102 .

Step 105: Send the first encoding sequence.

After the first coding sequence is generated, the wireless communication device may modulate and transmit the first coding sequence. The process of modulating and transmitting the first coding sequence will not be repeated here.

In the above method embodiments, the wireless communication device obtains the first basis matrix of the LDPC code, and can obtain the first encoded sequence by encoding the information sequence according to the first basis matrix, the spreading factor z _f and the free factor r _f . Wherein, the basis matrix corresponding to the parity check matrix of the first coding sequence is the second basis matrix, then there is at least one matrix element p _f, ⁱ _{, j} in the i-th row and the j-th column in the second basis matrix. The matrix element p _i,j of the i-th row and the j-th column in the base matrix is generated by the expansion factor z _f and the free factor r _f , where p _f,i,j <z _f , and the values of i and j are both is an integer, 0≤i<m, 0≤j<n.

In one possible implementation, p _f,i,j satisfy the following formula:

其中，g₁(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₂(z_f)表示以z_f为参数的函数，且g₂(z_f)≤z_f，取值为整数。

Among them, g ₁ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₂ (z _f ) represents a function with z _f as a parameter, and g ₂ (z _f )≤z _f , which is an integer.

Among them, g ₁ (pi _,j ,r _f ) can satisfy the following formula:

或者

其中c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

或者

其中，c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

g ₁ (pi _,j ,r _f )=pi _,j +(cp _i,j )r _f , where c is a constant and not equal to 0; or,

或者

或者，

or

or,

或者

或者，

or

or,

或者

or

g ₂ (z _f ) may satisfy the following formula: g ₂ (z _f )=z _f or,

In the above formula, c is a constant and not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, or a value of z _max , where z _max is the expansion factor z to be supported by the first basis matrix the maximum value of _f .

The function satisfying the above formula can be obtained in various forms, for example,

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

In the above formula, c is a constant and is not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, 2 ⁿ , where n is a positive integer, or a value of z _max .

或者

c可以是取值为2ⁿ的常数，例如4或者8，或者取值为z_max。For example, for

or

c may be a constant value of 2 ⁿ , such as 4 or 8, or z _max .

则for

but

或者，

or,

Another example:

或者

or

It should be noted that the above are only examples, and are not limited thereto.

In yet another possible implementation, p _f,i,j satisfy the following formula:

其中，g₃(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₄(z_f)表示以z_f为参数的函数，且0＜g₄(z_f)≤1。

Among them, g ₃ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₄ (z _f ) represents a function with z _f as a parameter, and 0< g ₄ (z _f )≤1.

where g ₃ (pi _,j ,r _f ) satisfies the following formula:

g ₃ (pi _,j ,r _f )=(pi _,j +r _f )modc, where c is a constant and not equal to 0; or,

g ₃ (pi _,j ,r _f )=(pi _,j ·r _f )modc, where c is a constant and not equal to zero.

g ₄ (z _f ) satisfies the following formula:

其中，c为常数，且不等于0。g ₄ (z _f )=z _f /c, or,

where c is a constant and not equal to 0.

In the above formula, c is a constant and not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, 2 ⁿ , where n is a positive integer, or a value of z _max , where z _max is the first The maximum value of the expansion factor z _f to be supported by the basis matrix.

E.g:

Another example:

It should be noted that the above are only examples, and are not limited thereto.

Optionally, the wireless communication device may also acquire the expansion factor z _f and the free factor r _f .

In the foregoing embodiment, the step of generating the second basis matrix is only an optional implementation manner, and for each element p _i,j in the first basis matrix, according to p _i,j , the expansion factor z _f and the free The factor r _f calculates p _f,i,j , and encodes the information sequence according to p _f,i,j to obtain the first coding sequence. In addition, this invention is not limited to this. Since the parity check matrix of the first coding sequence has a lower error level, the reliability of data transmission can be improved.

Referring to FIG. 4 , it is a schematic flowchart of an embodiment of the information processing method of the present application. The wireless communication device may use the second basis matrix generated by the foregoing embodiments for decoding.

If the wireless communication device is a receiving end device, after generating the second basis matrix, the wireless communication device may use the second basis matrix to decode the received coded sequence. Therefore, when the wireless communication device is a receiver device, as shown in FIG. 4 , after step 103, it may further include:

Step 106, obtaining a second encoding sequence.

The wireless communication device may receive wireless signals sent by other devices, and then perform processes such as demodulation on the wireless signals to generate the second coding sequence. The specific acquisition method of the second coding sequence is not repeated here.

Step 107: Use the second base matrix to decode the second encoded sequence.

After the second coding sequence is generated, the wireless communication device may decode the second coding sequence using the second basis matrix. The specific manner in which the wireless communication device decodes the second coding sequence will not be repeated here.

In the above method embodiments, the wireless communication device obtains the first basis matrix of the LDPC code, and decodes the second coded sequence according to the first basis matrix, the spreading factor z _f and the free factor r _f to obtain the information sequence. Wherein, the base matrix corresponding to the check matrix of the second coding sequence is the second base matrix, then there is at least one matrix element p _f,i,j in the i-th row and the j-th column in the second base matrix. The matrix element p _i,j of the i-th row and the j-th column in the base matrix is generated by the expansion factor z _f and the free factor r _f , where p _f,i,j <z _f , and the values of i and j are both is an integer, 0≤i<m, 0≤j<n.

In one possible implementation, p _f,i,j satisfy the following formula:

其中，g₁(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₂(z_f)表示以z_f为参数的函数，且g₂(z_f)≤z_f，取值为整数。

Among them, g ₁ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₂ (z _f ) represents a function with z _f as a parameter, and g ₂ (z _f )≤z _f , which is an integer.

Among them, g ₁ (pi _,j ,r _f ) can satisfy the following formula:

或者

其中c为常数，且不等于0；或者，

或者

其中，c为常数，且不等于0；或者，

or

where c is a constant and not equal to 0; or,

or

where c is a constant and not equal to 0; or,

g ₁ (pi _,j ,r _f )=pi _,j +(cp _i,j )r _f , where c is a constant and not equal to 0; or,

或者

或者，

or

or,

或者

或者，

or

or,

或者

or

g ₂ (z _f ) may satisfy the following formula: g ₂ (z _f )=z _f or,

In the above formula, c is a constant and is not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, or a value of z _max , where z _max is the expansion factor z to be supported by the first basis matrix the maximum value of _f .

The function satisfying the above formula can be obtained in various forms, for example,

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

或者

c可以是取值为2ⁿ的常数，例如4或者8，或者取值为z_max。In the above formula, c is a constant and is not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, 2 ⁿ , where n is a positive integer, or a value of z _max . For example, for

or

c may be a constant value of 2 ⁿ , such as 4 or 8, or z _max .

则for

but

或者，

or,

Another example:

或者

or

It should be noted that the above are only examples, and are not limited thereto.

In yet another possible implementation, p _f,i,j satisfy the following formula:

其中，g₃(p_i,j,r_f)表示以p_i,j,r_f为参数的函数，取值为整数，g₄(z_f)表示以z_f为参数的函数，且0＜g₄(z_f)≤1。

Among them, g ₃ (p _i,j ,r _f ) represents a function with p _i,j ,r _f as parameters, which is an integer, g ₄ (z _f ) represents a function with z _f as a parameter, and 0< g ₄ (z _f )≤1.

where g ₃ (pi _,j ,r _f ) satisfies the following formula:

g ₃ (pi _,j ,r _f )=(pi _,j +r _f )modc, where c is a constant and not equal to 0; or,

g ₃ (pi _,j ,r _f )=(pi _,j +r _f )modc, where c is a constant and not equal to zero.

g ₄ (z _f ) satisfies the following formula:

其中，c为常数，且不等于0。g ₄ (z _f )=z _f /c; or,

where c is a constant and not equal to 0.

In the above formula, c is a constant and not equal to 0. In order to simplify the calculation, c can usually be an integer power of 2, 2 ⁿ , where n is a positive integer, or a value of z _max , where z _max is the first The maximum value of the expansion factor z _f to be supported by the basis matrix.

E.g:

Another example:

It should be noted that the above are only examples, and are not limited thereto. Reference may also be made to the description of p _f,i,j in the foregoing method embodiments.

Optionally, the wireless communication device may also acquire the expansion factor z _f and the free factor r _f .

In the foregoing embodiment, the step of generating the second basis matrix is only an optional implementation manner, and for each element p _i,j in the first basis matrix, according to p _i,j , the expansion factor z _f and the free The factor r _f calculates p _f,i,j , and the information sequence is decoded according to p _f,i,j . In addition, this invention is not limited to this.

Since the parity check matrix of the second coding sequence has a lower error level, the reliability of data transmission can be improved.

Referring to FIG. 5 , it is a schematic structural diagram of an embodiment of a wireless communication device of the present application. As shown in FIG. 5 , the wireless communication device includes: an obtaining unit 501 , a processing unit 502 , and a sending unit 503 .

Wherein, the obtaining unit 501 obtains the first base matrix of the LDPC code and the spreading factor z _f of the first base matrix, where m is the number of rows of the first base matrix, and n is the first base matrix The number of columns of the base matrix, z _f is a positive integer. A processing unit 502, configured to generate a second base matrix of the LDPC code, wherein m is the number of rows of the second base matrix, n is the number of columns of the second base matrix, and in the first base matrix The position of the matrix element equal to -1 is the same as that of the matrix element equal to -1 in the second base matrix, and the second base matrix has at least one matrix element p _f,i,j in the i-th row and the j-th column. The matrix element p _i,j of the i-th row and the j-th column of the first basis matrix is generated by the z _f and the free factor r _f , where p _f,i,j <z _f , r _f , m, n , i, j are all integers, 0≤i<m, 0≤j<n.

Optionally, the ring length characteristic of the second basis matrix is better than or equal to that of the first basis matrix.

其中，c为预设常数；或者，optional,

where c is a preset constant; or,

其中z_max为初始基矩阵所要支持的扩展因子z_f的最大值；或者，

或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the initial basis matrix; or,

or,

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

It should be noted that the above are only examples, and are not limited thereto.

For p _{f, i, j,} reference may also be made to the descriptions in the foregoing method embodiments, which are not repeated here.

Optionally, the obtaining unit 501 may be further configured to obtain a free factor r _{f corresponding to the expansion factor z f .} Wherein, the free factor r _f may be obtained by the obtaining unit 501 before obtaining the second basis matrix of the LDPC code.

Optionally, the processing unit 502 is further configured to use the second base matrix to encode the sequence to be encoded, so as to obtain a first encoded sequence; the sending unit 503 is further configured to send the first encoded sequence.

Optionally, the obtaining unit 501 is further configured to obtain a second coding sequence; the processing unit 502 is further configured to decode the second coding sequence by using the second base matrix.

In another embodiment of the wireless communication device of the present application, an acquisition unit and a processing unit are included for implementing the corresponding steps in the foregoing method embodiments, wherein the acquisition unit is used for acquiring the first basis matrix of the low density parity check LDPC code, Wherein, m is the number of rows of the first base matrix, n is the number of columns of the first base matrix, m, n are both positive integers; The factor z _f and the free factor r _f encode the information sequence to obtain the first coding sequence, wherein the value of z _f is a positive integer, and the value of r _f is an integer greater than or equal to 0.

Optionally, the obtaining unit is also used to obtain the expansion factor z _f and the free factor r _f .

Wherein, in a possible implementation manner, the processing unit is specifically configured to, for each matrix element p _i,j of the i-th row and the j-th column in the first basis matrix, according to p _i,j , the expansion factor z _f and the free factor r _f calculates p _f,i,j , and encodes the information sequence according to p _f,i,j to obtain the first coding sequence, where p _f,i,j <z _f , the values of i,j are both integers, 0≤i<m, 0≤j<n. E.g,

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

It should be noted that the above are only examples, and are not limited thereto.

For p _{f, i, j,} reference may also be made to the descriptions in the foregoing method embodiments, which are not repeated here.

In the above embodiment, the acquiring unit 501 and the processing unit 502 may also be used as a device to implement the information processing method in the previous embodiment, and the wireless communication device includes the device.

Optionally, the wireless communication device further includes a sending unit for sending the first coding sequence.

In another embodiment of the wireless communication device of the present application, an acquisition unit and a processing unit are included for implementing the corresponding steps in the foregoing method embodiments, wherein the acquisition unit is used for acquiring the first basis matrix of the low density parity check LDPC code, Wherein, m is the number of rows of the first base matrix, n is the number of columns of the first base matrix, m, n are both positive integers; The second coded sequence is decoded by the factor z _f and the free factor r _f to obtain the information sequence, wherein the value of z _f is a positive integer, and the value of r _f is an integer greater than or equal to 0.

Optionally, the obtaining unit is also used to obtain the expansion factor z _f and the free factor r _f .

Wherein, in a possible implementation manner, the processing unit is specifically configured to, for each matrix element p _i,j of the i-th row and the j-th column in the first basis matrix, according to p _i,j , the expansion factor z _f and the free factor r _f calculates p _f,i,j , and decodes the second coded sequence according to p _f,i,j to obtain an information sequence, where p _f,i,j <z _f , the values of i,j are both is an integer, 0≤i<m, 0≤j<n. E.g,

其中，c为预设常数；或者，

where c is a preset constant; or,

其中z_max为所述第一基矩阵所要支持的扩展因子z_f的最大值；或者，

where z _max is the maximum value of the expansion factor z _f to be supported by the first base matrix; or,

或者，

or,

p _{f, i, j} are usually integers, and the parts that may generate decimals in the above functions can be rounded up or down, for example:

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

or

可以通过取整得到

can be obtained by rounding

或者

也可以通过取整得到

or

can also be obtained by rounding

或者

or

表示对数值向上取整，

表示对数值向下取整。in,

Indicates that the logarithmic value is rounded up,

Indicates that the logarithmic value is rounded down.

It should be noted that the above are only examples, and are not limited thereto.

For p _{f, i, j,} reference may also be made to the descriptions in the foregoing method embodiments, which are not repeated here.

Optionally, the wireless communication device further includes a receiving unit for receiving the second encoding sequence.

Referring to FIG. 6 , which is a schematic structural diagram of another embodiment of a wireless communication device of the present application, referring to FIG. 6 .

Referring to FIG. 6, it is a schematic structural diagram of an embodiment of the wireless communication device of the present application. The wireless communication device may be the wireless communication device in any of the foregoing embodiments, and may be used to execute the second basis matrix generation method shown in FIG. 1 , or may also be used to execute the encoding method shown in FIG. 2 , or It is used to execute the decoding method shown in FIG. 3 , or it can also be used to execute the aforementioned data transmission method.

As shown in FIG. 6 , the wireless communication device may include a processor 601, a memory 602, and a transceiver 603, and the transceiver 603 may include components such as a receiver, a transmitter, and an antenna. The wireless communication device may also include more or less components, or combine certain components, or arrange different components, which is not limited in this application.

The processor 601 is the control center of the wireless communication device, uses various interfaces and lines to connect various parts of the entire wireless communication device, runs or executes the software programs and/or modules stored in the memory 602, and calls the stored in the memory. data to perform various functions of the wireless communication device and/or process data. The processor 601 may be composed of an integrated circuit (integrated circuit, IC for short), for example, may be composed of a single packaged IC, or may be composed of a plurality of packaged ICs connected with the same function or different functions. For example, the processor may only include a central processing unit (CPU), a GPU, a digital signal processor (DSP), and a control chip (eg, a baseband chip) in the transceiver 603 . )The combination. In the embodiments of the present application, the CPU may be a single computing core, or may include multiple computing cores.

The transceiver 603 is used for establishing a communication channel, so that the wireless communication device is connected to the receiving device through the communication channel, so as to realize data transmission between the wireless communication devices. The transceiver 603 may include communication modules such as a wireless local area network (WLAN for short) module, a Bluetooth module, and a base band (base band) module, and a radio frequency (radio frequency, RF for short) circuit corresponding to the communication module, For wireless local area network communication, Bluetooth communication, infrared communication and/or cellular communication system communication, such as wideband code division multiple access (WCDMA for short) and/or high speed downlink packet access (highspeed downlink) packet access, referred to as HSDPA). The transceiver 603 is used to control the communication of various components in the wireless communication device, and may support direct memory access.

In different embodiments of the present application, various transceivers 603 in the transceivers 603 generally appear in the form of integrated circuit chips, and can be selectively combined, rather than including all transceivers 603 and the corresponding antenna group. For example, the transceiver 603 may only include a baseband chip, a radio frequency chip, and a corresponding antenna to provide communication functions in a cellular communication system. Via the wireless communication connection established by the transceiver 603, such as wireless local area network access or WCDMA access, the wireless communication device can be connected to a cellular network or the Internet. In some optional implementation manners of the present application, the communication module in the transceiver 603, such as a baseband module, may be integrated into a processor, typically such as the APQ+MDM series platform provided by Qualcomm (Qualcomm). The radio frequency circuit is used to receive and transmit signals during information transmission and reception or during a call. For example, after receiving the downlink information of the network device, it is processed by the processor; in addition, the designed uplink data is sent to the network device. Typically, the radio frequency circuits include well-known circuits for performing these functions, including but not limited to antenna systems, radio frequency transceivers, one or more amplifiers, tuners, one or more oscillators, digital signal processors, codecs (codec) Chipset, Subscriber Identity Module (SIM) card, memory, etc. In addition, radio frequency circuits can also communicate with networks and other devices through wireless communication. The wireless communication can use any communication standard or protocol, including but not limited to global system of mobile communication (GSM for short), general packet radio service (gprs for short), code division multiple access (CDMA). code division multiple access (CDMA), wideband code division multiple access (WCDMA), high-speed uplink packet access (HSUPA), long term evolution (long term evolution, LTE for short), email, short messaging service (short messaging service, SMS for short), etc.

In this embodiment of the present application, a wireless communication device may be used to implement each method step of the method for receiving a channel state information reference signal in the foregoing embodiments. The function to be implemented by the acquisition unit 501 can be implemented by the transceiver 603 of the wireless communication device, or the processor 601 controls the transceiver 603 to implement; the function to be implemented by the sending unit 503 can also be implemented by the wireless communication device. The transceiver 603 can be implemented by the processor 601 , or the transceiver 603 can be controlled by the processor 601 to be implemented; the functions to be implemented by the processing unit 502 can be implemented by the processor 601 .

In a specific implementation, the present application also provides a computer storage medium, wherein the computer storage medium can store a program, and when the program is executed, it can include each implementation of the method for generating the basis matrix, the encoding method or the decoding method of the LDPC code provided by the present application some or all of the steps in the example. The storage medium may be a magnetic disk, an optical disc, a read-only memory (English: read-only memory, ROM for short) or a random access memory (English: random access memory, RAM for short).

Those skilled in the art can clearly understand that the technology in the embodiments of the present application can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solutions in the embodiments of the present application can be embodied in the form of software products in essence or in the parts that make contributions to the prior art, and the computer software products can be stored in a storage medium, such as ROM/RAM , magnetic disk, optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present application.

It is sufficient to refer to each other for the same and similar parts among the various embodiments in this specification. In particular, for the network device and wireless communication device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for relevant details, refer to the descriptions in the method embodiments.

The above-described embodiments of the present application do not limit the protection scope of the present application.

Claims (22)

1. A method of information processing, comprising:

acquiring a first base matrix of a low-density parity check LDPC code, wherein m is the row number of the first base matrix, n is the column number of the first base matrix, and the values of m and n are positive integers;

according to the first base matrix and the spreading factor z_fAnd free factor r_fCoding the information sequence to obtain a first coding sequence, wherein z_fIs a positive integer, r_fIs an integer greater than or equal to 0;

wherein the first base matrix is a function of a spreading factor z_fAnd free factor r_fFor information sequencesCoding to obtain a first coding sequence, comprising:

for each ith row and jth column of matrix elements p in the first base matrix_i,jAccording to p_i,jThe spreading factor z_fAnd free factor r_fCalculating p_f,i,jWherein p is_f,i,j<z_fThe values of i and j are integers, i is more than or equal to 0 and less than m, and j is more than or equal to 0 and less than n;

according to p_f,i,jCoding the information sequence to obtain the first coding sequence;

wherein,

p_f,i,jthe following formula is satisfied:

wherein, g₁(p_i,j,r_f) Is represented by p_i,j,r_fAs a function of the parameter, taking the value as an integer, g₂(z_f) Is represented by z_fIs a function of a parameter, and g₂(z_f)≤z_fThe values are integers.

2. The method of claim 1, wherein g is₁(p_i,j,r_f) The following formula is satisfied:

or

Wherein c is a constant and is not equal to 0;

or

Wherein c is a constant and is not equal to 0; or,

g₁(p_i,j,r_f)＝p_i,j+(c-p_i,j)r_fwherein c is a constant and is not equal to 0; or,

or

Or,

or

3. The method of claim 1, wherein g is₂(z_f) The following formula is satisfied:

g₂(z_f)＝z_f(ii) a Or,

4. the method of claim 2, wherein c ═ z is determined_max，z_maxSpreading factor z to be supported for the first base matrix_fIs measured.

5. The method according to any one of claims 1 to 4, further comprising:

and transmitting the first coding sequence.

6. A method of information processing, comprising:

acquiring a first base matrix of a low-density parity check LDPC code, wherein m is the row number of the first base matrix, n is the column number of the first base matrix, and the values of m and n are positive integers;

according to the first base matrix and the spreading factor z_fAnd free factor r_fCoding the information sequence to obtain a first coding sequence, wherein z_fIs a positive integer, r_fIs an integer greater than or equal to 0;

wherein the first base matrix is a function of a spreading factor z_fAnd free factor r_fEncoding an information sequence to obtain a first encoding sequence, comprising:

for each ith row and jth column of matrix elements p in the first base matrix_i,jAccording to p_i,jThe spreading factor z_fAnd free factor r_fCalculating p_f,i,jWherein p is_f,i,j<z_fThe values of i and j are integers, i is more than or equal to 0 and less than m, and j is more than or equal to 0 and less than n;

according to p_f,i,jCoding the information sequence to obtain the first coding sequence;

wherein,

p_f,i,jthe following formula is satisfied:

wherein, g₃(p_i,j,r_f) Is represented by p_i,j,r_fAs a function of the parameter, taking the value as an integer, g₄(z_f) Is represented by z_fIs a function of a parameter, and 0<g₄(z_f)≤1。

7. The method of claim 6, wherein g is₃(p_i,j,r_f) The following formula is satisfied:

g₃(p_i,j,r_f)＝(p_i,j+r_f) modc, where c is a constant and is not equal to 0; or,

g₃(p_i,j,r_f)＝(p_i,j·r_f) modc, where c is a constant and is not equal to 0.

8. The method of claim 6, wherein g is₄(z_f) The following formula is satisfied:

g₄(z_f)＝z_fc, or alternatively,

wherein c is a constant and is not equal to 0.

9. The method of claim 7, wherein c ═ z_max，z_maxSpreading factor z to be supported for the first base matrix_fIs measured.

10. The method according to any one of claims 6 to 9, further comprising:

and transmitting the first coding sequence.

11. An information processing apparatus, comprising:

an obtaining unit, configured to obtain a first base matrix of a low density parity check LDPC code, where m is a number of rows of the first base matrix and n is a number of columns of the first base matrix;

a processing unit for generating a first base matrix, a spreading factor z_fAnd free factor r_fCoding the information sequence to obtain a first coding sequence, wherein z_fIs a positive integer, r_fIs an integer greater than or equal to 0;

wherein the processing unit is specifically configured to, for each ith row and jth column of matrix elements p in the first base matrix_i,jAccording to p_i,jThe spreading factor z_fAnd free factor r_fCalculating p_f,i,jWherein p is_f,i,j<z_fThe values of i and j are integers, i is more than or equal to 0 and less than m, and j is more than or equal to 0 and less than n;

according to p_f,i,jCoding the information sequence to obtain a first coding sequence;

wherein p is_f,i,jThe following formula is satisfied:

wherein, g₁(p_i,j,r_f) Is represented by p_i,j,r_fAs a function of the parameter, taking the value as an integer, g₂(z_f) Is represented by z_fIs a function of a parameter, and g₂(z_f)≤z_fThe values are integers.

12. The apparatus of claim 11, wherein g is₁(p_i,j,r_f) The following formula is satisfied:

or

Wherein c is a constant and is not equal to 0;

or

Wherein c is a constant and is not equal to 0; or,

g₁(p_i,j,r_f)＝p_i,j+(c-p_i,j)r_fwherein c is a constant and is not equal to 0; or,

or

Or,

or

13. The apparatus of claim 11, wherein g is₂(z_f) The following formula is satisfied:

g₂(z_f)＝z_f(ii) a Or,

14. the apparatus of claim 12, wherein g is₂(z_f) The following formula is satisfied:

g₂(z_f)＝z_f(ii) a Or,

15. the apparatus of claim 12 or 14, wherein c-z_max，z_maxSpreading factor z to be supported for the first base matrix_fIs measured.

16. An information processing apparatus, comprising:

an obtaining unit, configured to obtain a first base matrix of a low density parity check LDPC code, where m is a number of rows of the first base matrix and n is a number of columns of the first base matrix;

a processing unit for generating a first base matrix, a spreading factor z_fAnd free factor r_fCoding the information sequence to obtain a first coding sequence, wherein z_fIs a positive integer, r_fIs an integer greater than or equal to 0;

wherein the processing unit is specifically configured to, for each ith row and jth column of matrix elements p in the first base matrix_i,jAccording to p_i,jThe spreading factor z_fAnd free factor r_fCalculating p_f,i,jWherein p is_f,i,j<z_fThe values of i and j are integers, i is more than or equal to 0 and less than m, and j is more than or equal to 0 and less than n;

wherein p is_f,i,jThe following formula is satisfied:

wherein, g₃(p_i,j,r_f) Is represented by p_i,j,r_fAs a function of the parameter, taking the value as an integer, g₄(z_f) Is represented by z_fIs a function of a parameter, and 0<g₄(z_f)≤1。

17. The apparatus of claim 16, wherein g is₃(p_i,j,r_f) The following formula is satisfied:

g₃(p_i,j,r_f)＝(p_i,j+r_f) modc, where c is a constant and is not equal to 0; or,

g₃(p_i,j,r_f)＝(p_i,j·r_f) modc, where c is a constant and is not equal to 0.

18. The apparatus of claim 17, wherein g is₄(z_f) The following formula is satisfied:

g₄(z_f)＝z_fc, or alternatively,

wherein c is a constant and is not equal to 0.

19. The apparatus according to any one of claims 17 and 18, wherein c-z_max，z_maxIs a stand forThe spreading factor z to be supported by the first base matrix_fIs measured.

20. A wireless communication device, characterized in that it comprises the apparatus of any of claims 11 to 19.

21. The communication device according to claim 20, wherein the wireless communication device further comprises a transmitting unit:

and the sending unit is used for sending the first coding sequence.

22. A storage medium, characterized in that it stores a computer program which, when executed by a computer device, is capable of implementing the method of any one of claims 1 to 10.

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