CN118368170B - Channel estimation method, device and equipment - Google Patents

Abstract

The application relates to a channel estimation method, a device and equipment. The method comprises the following steps: acquiring initial communication data corresponding to a target channel; if the pilot frequency type corresponding to the initial communication data meets a first preset condition, carrying out channel estimation processing on the pilot frequency data in the initial communication data based on a discrete Fourier transform mode to obtain a channel estimation value corresponding to a target channel, wherein the first preset condition comprises that the number of sub-carriers in the initial communication data is integer times of a pilot frequency offset value, and the pilot frequency offset value is an offset value of the position of the sub-carrier where two adjacent pilot frequency data are located on the same pilot frequency symbol. The method can reduce the occupation of hardware resources.

Description

Channel estimation method, device and equipment

Technical Field

The present application relates to the field of wireless communication technology, and in particular to a channel estimation method, device and equipment.

Background Art

In the field of wireless communication technology, channel estimation refers to the receiver using known pilot data to infer and predict channel transmission characteristics. With the development of wireless communication technology, multi-mode communication systems that can support a variety of different communication modes have emerged, such as 4G (4th Generation Mobile Networks)/5G (5th Generation Mobile Networks) dual-mode communication systems. The pilot data in different modes are different; the traditional channel estimation method used in multi-mode communication systems is to select the channel estimation module corresponding to the communication mode corresponding to the received communication data to perform channel estimation.

However, the above channel estimation method occupies a large amount of hardware resources.

Summary of the invention

Based on this, it is necessary to provide a channel estimation method, device and equipment that can reduce hardware resource occupancy in order to address the above technical problems.

In a first aspect, the present application provides a channel estimation method, the method comprising:

Obtaining initial communication data corresponding to the target channel;

If the pilot type corresponding to the initial communication data meets the first preset condition, channel estimation processing is performed on the pilot data in the initial communication data based on the discrete Fourier transform method to obtain a channel estimation value corresponding to the target channel. The first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, and the pilot offset value is the offset value of the subcarrier positions of two adjacent pilot data located on the same pilot symbol.

In one embodiment, the method provided further includes:

Obtaining signaling data corresponding to the initial communication data;

The signaling data is parsed and processed according to a preset signaling protocol to obtain pilot characteristic information, which includes a pilot offset value and the number of subcarriers.

In one embodiment, the method provided herein performs channel estimation processing on pilot data in initial communication data based on discrete Fourier transform to obtain a channel estimation value corresponding to a target channel, including:

Performing inverse discrete Fourier transform processing on the pilot data to obtain a time domain received signal;

Performing screening processing on the time domain received signal to obtain a screened received signal;

The screened received signal is processed by discrete Fourier transform to obtain a channel estimation value.

In one embodiment, the method provided further includes:

If the pilot type corresponding to the initial communication data meets the second preset condition, filtering the pilot data in the initial communication data according to the historical frequency domain filter coefficient to obtain a channel estimation value;

Among them, the historical frequency domain filter coefficient is the frequency domain filter coefficient corresponding to the historical communication data, the historical communication data is the communication data that is closest to the initial communication data in time sequence and meets the first preset condition, and the second preset condition includes that the number of subcarriers in the initial communication data is not an integer multiple of the pilot offset value.

In one embodiment, the method provided further includes:

Performing inverse discrete Fourier transform processing on the pilot data corresponding to the historical communication data to obtain a historical time domain signal;

Perform screening processing on the historical time domain signal to obtain the historical screening signal;

Performing discrete Fourier transform processing on the historical screening signal to obtain a historical estimation signal;

The historical estimated signal is subjected to time delay estimation processing to obtain the historical frequency domain filter coefficient.

In one of the embodiments, the pilot characteristic information in the provided method also includes a time domain code length;

The method provided herein performs channel estimation processing on pilot data in initial communication data based on discrete Fourier transform to obtain a channel estimation value corresponding to a target channel, including:

If the time domain code length satisfies the third preset condition, performing time domain despreading processing on the pilot data according to the time domain code length to obtain multiple time domain despreading signals;

Channel estimation is performed on multiple time-domain despread signals based on discrete Fourier transform to obtain a channel estimation value corresponding to a target channel.

In one of the embodiments, the pilot characteristic information in the provided method also includes the number of pilot symbols;

The method provided herein includes performing discrete Fourier transform processing on the screened received signal to obtain a channel estimation value, including:

If the number of pilot symbols is greater than or equal to 2, a discrete Fourier transform is performed on the screened received signal to obtain an intermediate estimate;

The intermediate estimation value is subjected to time domain filtering to obtain a channel estimation value.

In a second aspect, the present application also provides a channel estimation device, the device comprising:

A signal acquisition module, used to acquire initial communication data corresponding to a target channel;

A channel estimation module is used to perform channel estimation processing on the pilot data in the initial communication data based on a discrete Fourier transform method to obtain a channel estimation value corresponding to a target channel when the pilot type corresponding to the initial communication data meets a first preset condition. The first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of a pilot offset value, and the pilot offset value is an offset value of the subcarrier positions of two adjacent pilot data located on the same pilot symbol.

In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method described in the first aspect are implemented.

In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

The above-mentioned channel estimation method, device and equipment obtain the initial communication data corresponding to the target channel; if the pilot type corresponding to the initial communication data meets the first preset condition, the pilot data in the initial communication data is subjected to channel estimation processing based on the discrete Fourier transform method to obtain the channel estimation value corresponding to the target channel, and the first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, and the pilot offset value is the offset value of the subcarrier position where two adjacent pilot data located on the same pilot symbol are located; in this way, various pilot data whose number of subcarriers is an integer multiple of the pilot offset value can be channel estimated by discrete Fourier transform to obtain the channel estimation value, without distinguishing the communication mode corresponding to the pilot data, avoiding the problem of high hardware resource occupancy in traditional technology that different pilot data need to be matched with their own corresponding channel estimation modules; the channel estimation method provided in the present application can perform channel estimation on multiple pilot data through one channel estimation module, and for multi-mode communication systems requiring multiple pilot data, it can effectively improve the area and power consumption efficiency of hardware equipment, thereby reducing hardware resource occupancy.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a diagram showing an application environment of a channel estimation method according to an embodiment;

FIG2 is a schematic flow chart of a channel estimation method according to an embodiment;

FIG3 is a schematic diagram of a CRS type pilot signal in one embodiment;

FIG4 is a schematic diagram of a URS type pilot signal in one embodiment;

FIG5 is a schematic flow chart of steps for obtaining pilot characteristic information in one embodiment;

FIG6 is a schematic flow chart of steps for obtaining a channel estimation value in one embodiment;

FIG7 is a schematic flow chart of the steps of obtaining historical frequency domain filter coefficients in one embodiment;

FIG8 is a schematic flow chart of steps for obtaining a channel estimation value in one embodiment;

FIG9 is a schematic flow chart of steps for obtaining a channel estimation value in one embodiment;

FIG10 is a schematic flow chart of a channel estimation method in another embodiment;

FIG11 is a block diagram of a channel estimation device according to an embodiment;

FIG. 12 is a diagram showing the internal structure of a computer device in one embodiment.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

The channel estimation method provided in the embodiment of the present application can be applied in the application environment shown in Figure 1. Among them, the terminal 102 communicates with the network device 104 through a wireless channel. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The network device 104 can be a device for communicating with the terminal 102, for example, it can be a base station in a 4G/5G communication mode, or it can be a routing device in a WLAN (Wireless Local Area Network) communication mode. The channel estimation method provided in the present application can be used for the receiving end in the wireless communication process, and the receiving end can be the terminal 102 or the network device 104. The receiving end is used to obtain the initial communication data corresponding to the target channel; if the pilot type corresponding to the initial communication data meets the first preset condition, the pilot data in the initial communication data is subjected to channel estimation processing based on the discrete Fourier transform method to obtain the channel estimation value corresponding to the target channel, and the first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, and the pilot offset value is the offset value of the subcarrier position where two adjacent pilot data located on the same pilot symbol are located.

In an exemplary embodiment, as shown in FIG2 , a channel estimation method is provided, which is described by taking the method applied to the terminal 102 in FIG1 as an example, and includes the following steps 202 to 204. Among them:

Step 202: Acquire initial communication data corresponding to the target channel.

The initial communication data is the communication data sent from the network device 104 and acquired by the terminal 102 .

Exemplarily, the initial communication data may include pilot data and other communication data.

Step 204: If the pilot type corresponding to the initial communication data meets the first preset condition, channel estimation processing is performed on the pilot data in the initial communication data based on discrete Fourier transform to obtain a channel estimation value corresponding to the target channel.

The first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, that is, the interval between two adjacent pilot data on a pilot symbol is equal. The pilot offset value is the offset value of the subcarrier position where two adjacent pilot data on the same pilot symbol are located. The subcarrier is an independent transmission channel in the frequency domain, and the pilot symbol is an independent transmission channel in the time domain.

Exemplarily, the number of subcarriers and the pilot offset value may be sent by the transmitting end to the receiving end in the form of a parameter instruction. The receiving end obtains the number of subcarriers and the pilot offset value from the parameter instruction, and determines whether the pilot data in the initial communication data meets the first preset condition.

Exemplarily, the pilot type corresponding to the pilot data in the initial communication data may include two dimensions, time and frequency. The pilot signal of the CRS (Cell Reference Signal) type may be represented as shown in FIG3, where _RS represents the pilot data, the number of subcarriers is 12, the pilot offset value is 6, the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, and the pilot type shown in FIG3 satisfies the first preset condition. Optionally, the pilot type in which the number of subcarriers is an integer multiple of the pilot offset value may also be referred to as a continuous distribution type, or a frequency domain equidistant distribution type.

As another example, a URS (UE-specific Reference Signal) type pilot signal can be represented as shown in Figure 4, the number of subcarriers is 12, the pilot offset value is 5, the number of subcarriers in the initial communication data is not an integer multiple of the pilot offset value, and the pilot type shown in Figure 4 does not meet the first preset condition.

Exemplarily, the discrete Fourier transform method includes converting initial communication data in frequency domain form into multiple frequency domain communication data in the time domain, comparing the pilot data in each frequency domain communication data with the pilot data reference value, obtaining the difference value between the pilot data and the pilot data reference value, and thus obtaining a channel estimation value.

Exemplarily, the pilot data reference value may be sent by the transmitting end to the receiving end in the form of a parameter instruction, or may be pre-stored in the receiving end.

In this step, when the first preset condition is met, it can be considered that the pilot data of the initial communication data is equally spaced in the frequency domain, and high-resolution frequency response information can be obtained by discrete Fourier transform, thereby obtaining an accurate channel estimation value; in the process of calculating the channel estimation value by discrete Fourier transform, a fast calculation method can be used to reduce the computational complexity of the channel estimation.

Optionally, for pilot data whose pilot type does not satisfy the first preset condition, channel estimation may be performed on the pilot data using a piecewise discrete Fourier transform method or a filtering method to obtain a channel estimation value.

In the above-mentioned channel estimation method, by obtaining the initial communication data corresponding to the target channel; if the pilot type corresponding to the initial communication data meets the first preset condition, the pilot data in the initial communication data is subjected to channel estimation processing based on the discrete Fourier transform method to obtain the channel estimation value corresponding to the target channel, and the first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of the pilot offset value, and the pilot offset value is the offset value of the subcarrier position where two adjacent pilot data located on the same pilot symbol are located; in this way, various pilot data whose number of subcarriers is an integer multiple of the pilot offset value can be channel estimated by discrete Fourier transform to obtain the channel estimation value, without distinguishing the communication mode corresponding to the pilot data, avoiding the problem of high hardware resource occupancy in the traditional technology that different pilot data need to be matched with their own corresponding channel estimation modules; the channel estimation method provided in the present application can perform channel estimation on multiple pilot data through one channel estimation module, and for a multi-mode communication system requiring multiple pilot data, it can effectively improve the area and power consumption efficiency of the hardware equipment, thereby reducing the hardware resource occupancy.

In an exemplary embodiment, based on the embodiment shown in FIG. 2 , as shown in FIG. 5 , the provided method further includes:

Step 502: Acquire signaling data corresponding to the initial communication data.

The signaling data may be communication data formed according to a preset signaling protocol. The signaling data may include information sent from a transmitting end to a receiving end for controlling, coordinating and managing a communication process. Optionally, the signaling data may be sent from a transmitting end to a receiving end simultaneously with the initial communication data.

Exemplarily, the signaling protocol may include an RRC (Radio Resource Control) protocol or a DCI (Downlink Control Information) protocol.

Step 504: parse and process the signaling data according to a preset signaling protocol to obtain pilot characteristic information.

The pilot characteristic information includes the pilot offset value and the number of subcarriers.

Optionally, the pilot characteristic information also includes a time domain code length, a frequency domain code length, and a number of pilot symbols. The time domain code length is used to indicate the code division multiplexing of the pilot data in the time domain, the frequency domain code length is used to indicate the code division multiplexing of the pilot data in the frequency domain, and the number of pilot symbols is used to indicate the number of pilot symbols containing pilot data in the initial communication data.

Among them, according to the communication format corresponding to the signaling protocol, the header file of the signaling data is parsed to obtain the header field; the field corresponding to the pilot characteristic information is selected from the header field, and data is extracted to obtain the pilot characteristic information.

In this embodiment, by analyzing the signaling data, pilot characteristic information can be obtained, and it is quickly determined whether the pilot type corresponding to the initial communication data meets the first preset condition, thereby improving the efficiency of channel estimation.

In an exemplary embodiment, based on the embodiment shown in FIG. 5 , as shown in FIG. 6 , the method provided in which channel estimation processing is performed on pilot data in the initial communication data based on a discrete Fourier transform method to obtain a channel estimation value corresponding to the target channel includes:

Step 602: Perform inverse discrete Fourier transform processing on the pilot data to obtain a time domain received signal.

The inverse discrete Fourier transform processing of the pilot data includes: obtaining the rotation factor of the inverse discrete Fourier transform according to the sequence length of the pilot data; and obtaining the time domain received signal according to the preset time domain index, the rotation factor and the sequence length.

Step 604, perform screening processing on the time domain received signal to obtain a screened received signal.

Among them, since the target channel may have multiple paths during the communication data transmission process, the communication data on each path has experienced different delays, fading and phase changes, resulting in the receiving end receiving the communication data mixed with noise. The time domain received signal is screened, and the time domain received signal corresponding to the communication data received by the valid path in the target channel can be used as the screened received signal.

Exemplarily, the screening process may include a screening method of energy threshold, a screening method of measuring delay, or a screening method of calculating correlation. The screening process is performed to obtain a main path with the highest signal transmission strength and the lowest interference, and the time domain received signal corresponding to the main path is used as the screened received signal.

Step 606: Perform discrete Fourier transform processing on the screened received signal to obtain a channel estimation value.

The discrete Fourier transform processing includes mapping the screened received signal from a time domain representation to a frequency domain representation to obtain a channel estimation value in the frequency domain representation form.

In this embodiment, channel estimation is performed on the pilot data in the initial communication data by means of discrete Fourier transform. Through fast Fourier calculation processing, the channel estimation value can be accurately and quickly obtained, thereby improving the estimation efficiency of the channel estimation method; and the effective path with the best communication quality is screened out from the multipath, thereby improving the accuracy of the channel estimation method.

In an exemplary embodiment, based on the embodiment shown in FIG2 , the provided method further includes:

If the pilot type corresponding to the initial communication data meets the second preset condition, the pilot data in the initial communication data is filtered according to the historical frequency domain filter coefficient to obtain a channel estimation value.

The historical frequency domain filter coefficient is a frequency domain filter coefficient corresponding to the historical communication data, and the second preset condition includes that the number of subcarriers in the initial communication data is not an integer multiple of the pilot offset value.

In a possible implementation, as shown in FIG7 , the provided method further includes:

Step 702: Perform inverse discrete Fourier transform processing on the pilot data corresponding to the historical communication data to obtain a historical time domain signal.

The historical communication data is the communication data that is closest to the initial communication data in terms of time sequence and meets the first preset condition.

Step 704, perform screening processing on the historical time domain signal to obtain a historical screening signal.

Step 706, performing discrete Fourier transform processing on the historical screening signal to obtain a historical estimation signal.

Step 708: Perform time delay estimation processing on the historical estimation signal to obtain historical frequency domain filter coefficients.

The delay estimation process refers to estimating the channel transmission delay corresponding to the historical estimation signal in the frequency domain representation, obtaining the delay estimation value in the frequency domain representation, and obtaining the historical frequency domain filter coefficient according to the delay estimation value.

Exemplarily, the historical frequency domain filter coefficients may be obtained by performing time delay estimation processing on the historical estimation signal based on correlation methods (Correlation-based methods) or energy methods (Energy-based methods).

In a possible implementation, when it is determined that the pilot type corresponding to the initial communication data meets the second preset condition, historical communication data may be determined, and based on the embodiment shown in FIG. 7 , historical frequency domain filter coefficients may be obtained based on the historical communication data.

In a possible implementation, when communication data that meets the first preset condition is obtained, the communication data can be subjected to inverse discrete Fourier transform processing to obtain a communication time domain signal; the communication time domain signal can be subjected to screening processing to obtain a communication screening signal; the communication screening signal can be subjected to discrete Fourier transform processing to obtain a communication estimation signal; the communication estimation signal can be subjected to delay estimation processing to obtain a communication frequency domain filter coefficient. When the next communication data that meets the first preset condition is obtained, the process of obtaining the communication frequency domain filter coefficient corresponding to the next communication data that meets the first preset condition is repeated. When the initial communication data that meets the second preset condition is obtained, the communication frequency domain filter coefficient corresponding to the communication data that is closest to the initial communication data in terms of time sequence and meets the first preset condition is used as the historical frequency domain filter coefficient.

In this embodiment, when the number of subcarriers in the initial communication data is not an integer multiple of the pilot offset value, it is necessary to divide the frequency domain of the pilot data into subbands with different spacing distances for channel estimation. If the pilot data is distributed on each subband for channel estimation directly based on the discrete Fourier transform method, the obtained channel estimation value has low resolution in the time domain, and the details of the pilot data on the time axis cannot be well distinguished or captured; the pilot data in the initial communication data is filtered using the historical frequency domain filter coefficient, so that the frequency domain representation of the historical communication data can be obtained. The pilot data in the initial communication data is filtered using this stable frequency domain representation, so that the resolution can be improved, thereby obtaining an accurate channel estimation value; using the method provided in this embodiment, the pilot type that meets the second preset condition does not distinguish the communication mode type, and the pilot data is directly filtered using the frequency domain filter coefficient to obtain a channel estimation value. For a multi-mode communication system that requires multiple pilot data, the area and power consumption efficiency of the hardware device can be effectively improved, thereby reducing the hardware resource occupancy.

In an exemplary embodiment, the pilot characteristic information in the provided method also includes a time domain code length.

Exemplarily, the pilot data may be code-divided multiplexed in the time domain by using an orthogonal code to distinguish the pilot data. When two pilot data in the time domain are code-divided multiplexed by using an orthogonal code {W0, W1} of length 2, the time-domain code length is 2. Exemplarily, when four adjacent pilot data in the time domain are distinguished by an orthogonal code of length 4, the time-domain code length is 4. Exemplarily, a time-domain code length of 1 indicates that the pilot data in the time domain is not multiplexed, and the pilot data may not be despread in the time domain.

Based on the embodiment shown in FIG5 , as shown in FIG8 , the method provided in which the pilot data in the initial communication data is subjected to channel estimation processing based on a discrete Fourier transform method to obtain a channel estimation value corresponding to the target channel includes:

Step 802: determine whether the time domain coding length meets a third preset condition.

Among them, the third preset condition includes that the time domain coding length is greater than 1.

Step 804: If the time domain code length satisfies the third preset condition, time domain despreading processing is performed on the pilot data according to the time domain code length to obtain multiple time domain despreading signals.

Among them, the time domain coding length satisfies the third preset condition, that is, the time domain coding length corresponding to the pilot data is greater than 1, then the pilot data is code-division multiplexed in the time domain, and the pilot data needs to be despread in the time domain, that is, split in the time domain, and the mutual interference between the pilot data is eliminated to obtain multiple time domain despread signals.

Step 806: Perform channel estimation processing on the multiple time-domain despread signals based on discrete Fourier transform to obtain a channel estimation value corresponding to the target channel.

Among them, channel estimation processing is performed on multiple time domain despread signals based on discrete Fourier transform, including: performing discrete Fourier transform processing on multiple time domain despread signals to obtain frequency domain despread signals; performing screening processing on frequency domain despread signals to obtain screened despread signals; performing inverse discrete Fourier transform processing on the screened despread signals to obtain channel estimation values.

Optionally, the pilot characteristic information also includes a frequency domain code length, and the third preset condition also includes that the frequency domain code length is greater than 1. Wherein, if the pilot data satisfies the third preset condition, that is, the time domain code length corresponding to the pilot data is greater than 1, then the pilot data is subjected to time domain despreading processing to obtain multiple time domain despreading signals; or if the frequency domain code length corresponding to the pilot data is greater than 1, then the pilot data is subjected to frequency domain despreading processing to obtain multiple frequency domain despreading signals; channel estimation processing is performed on the multiple time domain despreading signals or the multiple frequency domain despreading signals based on a discrete Fourier transform method to obtain a channel estimation value corresponding to the target channel.

Exemplarily, code division multiplexing may be to distinguish pilot data using orthogonal codes, and when two pilot data in the frequency domain are code-division multiplexed using orthogonal codes {W0, W1} of length 2, the frequency domain code length is 2. Another exemplary embodiment, when four adjacent pilot data in the frequency domain are distinguished by orthogonal codes of length 4, the frequency domain code length is 4. Another exemplary embodiment, a frequency domain code length of 1 indicates that the pilot data in the frequency domain is not multiplexed, and the pilot data may not be subjected to frequency domain despreading processing.

In this embodiment, whether the pilot data is code-division multiplexed is determined by the time domain coding length, and the pilot data with code-division multiplexed is despread in the time domain to eliminate interference between the multiplexed pilot data and obtain accurate pilot data, thereby improving the accuracy of the channel estimation method.

In an exemplary embodiment, the pilot characteristic information in the provided method further includes the number of pilot symbols.

Exemplarily, based on the pilot signal of the CRS type shown in FIG3, the number of symbols containing the pilot data _RS is 4, that is, the number of pilot symbols is 4. Also exemplary, based on the pilot signal of the URS type shown in FIG4, the number of symbols containing the pilot data _RS is 4, that is, the number of pilot symbols is 4.

Based on the embodiment shown in FIG. 6 , as shown in FIG. 9 , the method provided in which a discrete Fourier transform is performed on the screened received signal to obtain a channel estimation value includes:

Step 902: Determine whether the number of pilot symbols is greater than or equal to 2.

Step 904: If the number of pilot symbols is greater than or equal to 2, a discrete Fourier transform is performed on the screened received signal to obtain an intermediate estimation value.

Step 906: Perform time domain filtering on the intermediate estimation value to obtain a channel estimation value.

Among them, when the number of pilot symbols is greater than or equal to 2, that is, when the initial communication data has multiple pilot symbols in the time domain, the pilot data in the initial communication data is subjected to channel estimation processing based on the discrete Fourier transform method, and only the channel estimation value corresponding to the pilot data can be obtained. In order to obtain a more accurate channel estimation value corresponding to the target channel, the channel estimation values corresponding to the multiple pilot symbols can be interpolated or filtered to obtain a more accurate channel estimation value.

Exemplarily, the intermediate estimation value may be subjected to time domain filtering processing by linear interpolation, linear averaging, MMSE (Minimum Mean Square Error) and other methods to obtain the channel estimation value.

In a possible implementation manner, the process of obtaining the channel estimation value further includes:

Step 908: If the number of pilot symbols is 1, the intermediate estimation value is used as the channel estimation value.

In this embodiment, when the number of pilot symbols is greater than or equal to 2, a time-domain filtering process is performed on the intermediate estimation value, so that a channel estimation value with higher accuracy can be obtained, thereby improving the reliability of the channel estimation method.

In an exemplary embodiment, as shown in FIG10 , a channel estimation method is provided, which is described by taking the method applied to the receiving end 102 in FIG1 as an example, and includes the following steps 1001 to 1012. Among them:

Step 1001: Acquire initial communication data corresponding to a target channel and signaling data corresponding to the initial communication data.

Step 1002: parse and process the signaling data according to a preset signaling protocol to obtain a pilot offset value, a number of subcarriers, a time domain coding length, and a number of pilot symbols.

Step 1003, determine whether the time domain coding length meets the third preset condition, if yes, proceed to step 1004, if not, proceed to step 1005.

Step 1004: If the time domain code length satisfies the third preset condition, time domain despreading processing is performed on the pilot data according to the time domain code length to obtain multiple time domain despreading signals.

Step 1005: Determine whether the pilot types corresponding to the multiple time-domain despread signals or pilot data meet a first preset condition.

Step 1006: If the pilot types corresponding to the multiple time-domain despread signals or pilot data meet the first preset condition, inverse discrete Fourier transform processing is performed on the multiple time-domain despread signals or pilot data to obtain a time-domain received signal.

Step 1007, perform screening processing on the time domain received signal to obtain a screened received signal.

Step 1008, determine whether the number of pilot symbols is greater than or equal to 2.

Step 1009: If the number of pilot symbols is greater than or equal to 2, a discrete Fourier transform is performed on the screened received signal to obtain an intermediate estimation value.

Step 1010: Perform time domain filtering on the intermediate estimation value to obtain a channel estimation value.

Step 1011: If the number of pilot symbols is 1, the intermediate estimation value is used as the channel estimation value.

Step 1012: If the pilot types corresponding to the multiple time domain despread signals or pilot data meet the second preset condition, the multiple time domain despread signals or pilot data in the initial communication data are filtered according to the historical frequency domain filter coefficients to obtain a channel estimation value.

Optionally, the filtering processing includes using historical frequency domain filtering coefficients to perform frequency domain filtering on the pilot data in the initial communication data to obtain frequency domain filtered data; if the number of pilot symbols corresponding to the initial communication data is greater than or equal to 2, then performing time domain filtering on the frequency domain filtered data to obtain a channel estimation value; if the number of pilot symbols corresponding to the initial communication data is 1, then using the frequency domain filtered data as the channel estimation value.

Optionally, the channel estimation method provided in this embodiment also includes: performing inverse discrete Fourier transform processing on the pilot data corresponding to the historical communication data to obtain a historical time domain signal; performing screening processing on the historical time domain signal to obtain a historical screening signal; performing discrete Fourier transform processing on the historical screening signal to obtain a historical estimation signal; performing time delay estimation processing on the historical estimation signal to obtain a historical frequency domain filter coefficient.

It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

Based on the same inventive concept, the embodiment of the present application also provides a channel estimation device for implementing the channel estimation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more channel estimation device embodiments provided below can refer to the limitations on the channel estimation method above, and will not be repeated here.

In an exemplary embodiment, as shown in FIG11 , a channel estimation device is provided, including: a signal acquisition module 1102 and a channel estimation module 1104, wherein:

The signal acquisition module 1102 is used to acquire initial communication data corresponding to the target channel.

The channel estimation module 1104 is used to perform channel estimation processing on the pilot data in the initial communication data based on a discrete Fourier transform method to obtain a channel estimation value corresponding to a target channel when the pilot type corresponding to the initial communication data meets a first preset condition. The first preset condition includes that the number of subcarriers in the initial communication data is an integer multiple of a pilot offset value, and the pilot offset value is an offset value of the subcarrier positions of two adjacent pilot data located on the same pilot symbol.

In one of the embodiments, the signal acquisition module 1102 is also used to: obtain signaling data corresponding to the initial communication data; parse and process the signaling data according to a preset signaling protocol to obtain pilot characteristic information, the pilot characteristic information including a pilot offset value and the number of subcarriers.

In one embodiment, the channel estimation module 1104 is further used to perform inverse discrete Fourier transform processing on the pilot data to obtain a time domain received signal; perform screening processing on the time domain received signal to obtain a screened received signal; and perform discrete Fourier transform processing on the screened received signal to obtain a channel estimation value.

In one embodiment, the channel estimation module 1104 is also used to filter the pilot data in the initial communication data according to the historical frequency domain filter coefficient to obtain a channel estimation value when the pilot type corresponding to the initial communication data satisfies the second preset condition; wherein the historical frequency domain filter coefficient is the frequency domain filter coefficient corresponding to the historical communication data, the historical communication data is the communication data that is closest to the initial communication data in time sequence and satisfies the first preset condition, and the second preset condition includes that the number of subcarriers in the initial communication data is not an integer multiple of the pilot offset value.

In one embodiment, the provided channel estimation device also includes a coefficient acquisition module, which is used to perform inverse discrete Fourier transform processing on the pilot data corresponding to the historical communication data to obtain a historical time domain signal; perform screening processing on the historical time domain signal to obtain a historical screening signal; perform discrete Fourier transform processing on the historical screening signal to obtain a historical estimation signal; perform time delay estimation processing on the historical estimation signal to obtain a historical frequency domain filter coefficient.

In one of the embodiments, the pilot characteristic information also includes the time domain coding length; the channel estimation module 1104 is also used to perform time domain demodulation processing on the pilot data according to the time domain coding length when the time domain coding length satisfies a third preset condition, so as to obtain multiple time domain demodulation signals; and perform channel estimation processing on the multiple time domain demodulation signals based on a discrete Fourier transform method to obtain a channel estimation value corresponding to the target channel.

In one of the embodiments, the pilot characteristic information also includes the number of pilot symbols; the channel estimation module 1104 is also used to perform discrete Fourier transform processing on the filtered received signal to obtain an intermediate estimation value when the number of pilot symbols is greater than or equal to 2; and perform time domain filtering on the intermediate estimation value to obtain a channel estimation value.

Each module in the above-mentioned channel estimation device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module above.

In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG12. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input/output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input/output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input/output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a channel estimation method is implemented. The display unit of the computer device is used to form a visually visible picture, which may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

Those skilled in the art will understand that the structure shown in FIG. 12 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims (10)

1. A method of channel estimation, the method comprising:

Acquiring initial communication data corresponding to a target channel;

If the pilot frequency type corresponding to the initial communication data meets a first preset condition, carrying out channel estimation processing on the pilot frequency data in the initial communication data based on a discrete Fourier transform mode to obtain a channel estimation value corresponding to the target channel, wherein the first preset condition comprises that the number of sub-carriers in the initial communication data is an integer multiple of a pilot frequency offset value, and the pilot frequency offset value is an offset value of the position of the sub-carrier where two adjacent pilot frequency data located on the same pilot frequency symbol;

If the pilot frequency type corresponding to the initial communication data meets a second preset condition, carrying out filtering processing on the pilot frequency data in the initial communication data according to the historical frequency domain filtering coefficient to obtain the channel estimation value;

The historical frequency domain filter coefficients are frequency domain filter coefficients corresponding to historical communication data, the historical communication data are communication data which are closest to the initial communication data in time sequence and meet the first preset condition, and the second preset condition comprises that the number of subcarriers in the initial communication data is not an integer multiple of the pilot frequency offset value.

2. The method according to claim 1, wherein the method further comprises:

acquiring signaling data corresponding to the initial communication data;

and analyzing the signaling data according to a preset signaling protocol to obtain pilot characteristic information, wherein the pilot characteristic information comprises the pilot offset value and the subcarrier number.

3. The method of claim 2, wherein the performing channel estimation processing on pilot data in the initial communication data based on the discrete fourier transform manner to obtain a channel estimation value corresponding to the target channel includes:

Performing inverse discrete Fourier transform processing on the pilot frequency data to obtain a time domain receiving signal;

screening the time domain received signals to obtain screened received signals;

and performing discrete Fourier transform processing on the screening received signals to obtain the channel estimation value.

4. The method according to claim 1, wherein the method further comprises:

Performing inverse discrete Fourier transform processing on pilot frequency data corresponding to the historical communication data to obtain a historical time domain signal;

screening the historical time domain signals to obtain historical screening signals;

performing discrete Fourier transform processing on the history screening signals to obtain history estimation signals;

and performing time delay estimation processing on the historical estimation signal to obtain the historical frequency domain filter coefficient.

5. The method of claim 2, wherein the pilot characteristic information further comprises a time domain coding length;

The method for performing channel estimation processing on pilot frequency data in the initial communication data based on the discrete Fourier transform to obtain a channel estimation value corresponding to the target channel comprises the following steps:

If the time domain coding length meets a third preset condition, performing time domain despreading processing on the pilot frequency data according to the time domain coding length to obtain a plurality of time domain despread signals;

and performing channel estimation processing on the plurality of time domain despread signals based on a discrete Fourier transform mode to obtain the channel estimation value corresponding to the target channel.

6. The method of claim 3, wherein the pilot characteristic information further comprises a number of pilot symbols;

The discrete fourier transform processing is performed on the screened received signal to obtain the channel estimation value, which includes:

If the number of the pilot frequency symbols is greater than or equal to 2, performing discrete Fourier transform processing on the screening received signals to obtain an intermediate estimated value;

and performing time domain filtering processing on the intermediate estimated value to obtain the channel estimated value.

7. The method of claim 6, wherein the filtering process comprises:

Performing frequency domain filtering processing on pilot frequency data in the initial communication data by using the historical frequency domain filtering coefficient to obtain frequency domain filtering data;

If the pilot frequency symbol number corresponding to the initial communication data is greater than or equal to 2, performing time domain filtering processing on the frequency domain filtering data to obtain a channel estimation value;

and if the pilot frequency symbol number corresponding to the initial communication data is 1, taking the frequency domain filtering data as a channel estimation value.

8. A channel estimation apparatus, the apparatus comprising:

The signal acquisition module is used for acquiring initial communication data corresponding to a target channel;

the channel estimation module is used for carrying out channel estimation processing on pilot frequency data in the initial communication data based on a discrete Fourier transform mode under the condition that the pilot frequency type corresponding to the initial communication data meets a first preset condition, so as to obtain a channel estimation value corresponding to the target channel, wherein the first preset condition comprises that the number of sub-carriers in the initial communication data is an integer multiple of a pilot frequency offset value, and the pilot frequency offset value is an offset value of the position of the sub-carrier where two adjacent pilot frequency data positioned on the same pilot frequency symbol are positioned;

The channel estimation module is further configured to perform filtering processing on pilot frequency data in the initial communication data according to a historical frequency domain filtering coefficient to obtain the channel estimation value when the pilot frequency type corresponding to the initial communication data meets a second preset condition; the historical frequency domain filter coefficients are frequency domain filter coefficients corresponding to historical communication data, the historical communication data are communication data which are closest to the initial communication data in time sequence and meet the first preset condition, and the second preset condition comprises that the number of subcarriers in the initial communication data is not an integer multiple of the pilot frequency offset value.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.