CN101616107B - Adaptive equalizer for MIMO system and coefficient generating circuit and method thereof - Google Patents

Abstract

The invention discloses an adaptive equalizer for a MIMO system and its coefficient generating circuit and method. The method includes: a sliding window filter used for combining multiple signals through a multi-channel signal combining module of a multiple-input multiple-output system. The data is filtered by a sliding window to obtain an estimated value of the data; the data comparison module is used to compare the estimated value with a predetermined expected value to generate an error signal; an interpolation filter is used for the pulse shaping filter of the multi-input multi-output system The processed data is interpolated to generate an interpolated signal, and the length of the interpolated filter is equal to the length of the sliding window filter; the adaptive operation module is used to calculate the error signal and the interpolated signal to obtain the coefficient of the adaptive equalizer, wherein , the length of the sliding window filter is variable. The invention achieves the technical effects of simple realization, low computational complexity of adaptive filter coefficients and adjustable adaptive convergence speed.

Description

Adaptive equalizer for MIMO system and its coefficient generation circuit and method

technical field

The present invention relates to the communication field, in particular to an adaptive equalizer for a multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) system and a coefficient generation circuit and method thereof.

Background technique

In order to meet the needs of future wireless communication, break through the bottleneck of system capacity, and improve the reliability of communication at the same time, MIMO technology is gradually being introduced into wireless communication systems such as WLAN and 3G mobile communication systems.

Existing receivers including adaptive equalizers for MIMO systems generally include: equalized receivers, RAKE receivers, G-RAKE receivers, SIC-GRAKE receivers, SIC-equalized receivers, and the like.

As shown in Figure 1, the adaptive equalizer used in the MIMO system in the related art usually obtains equalization by processing the pulse-shaped received data and the multi-channel data after pulse shaping, equalization filtering, rate conversion and combining The coefficients of the filter.

In the related art, the coefficient generation circuit of the equalization filter used in the MIMO system generates coefficients at a fixed frequency, so that the update frequency of the coefficients of the equalization filter is fixed and cannot change with changes in the channel environment, so that when the channel environment changes quickly, due to The coefficient update frequency of the equalization filter changes slowly relative to the channel environment, and the output data error of the adaptive equalizer is relatively large.

Contents of the invention

The object of the present invention is to provide an adaptive equalizer for a MIMO system and its coefficient generation circuit and method, which can solve the problem that the coefficient update frequency of the equalization filter in the related art is fixed when the channel environment changes rapidly. Large errors and other technical problems.

According to one aspect of the present invention, there is provided a coefficient generating circuit for an equalization filter of a MIMO system, including: a sliding window filter, which is used to perform sliding window filtering on the merged data to obtain an estimate of the data value; the data comparison module is used to compare the estimated value with the predetermined expected value to generate an error signal; the interpolation filter is used to interpolate the data processed by the pulse shaping filter of the adaptive equalizer to generate an interpolation signal, The length of the interpolation filter is equal to the length of the sliding window filter; the adaptive operation module is used to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter, wherein the length of the sliding window filter is variable.

Preferably, both the sliding window filter and the interpolation filter are finite impulse response filters.

Preferably, the adaptive operation module uses the least square method or the least mean square error algorithm to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter.

Preferably, the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256.

According to another aspect of the present invention, there is also provided an adaptive equalizer for a multiple-input multiple-output system, including: an equalization filter for equalizing the data processed by the pulse shaping filter; a coefficient generation circuit , used to provide coefficients to the equalization filter, the coefficient generation circuit includes: a sliding window filter, used to perform sliding window filtering on the data combined by the multi-channel signal combining module to obtain an estimated value of the data; a data comparison module for The estimated value is compared with the predetermined expected value to generate an error signal; an interpolation filter is used to interpolate the data processed by the pulse shaping filter to generate an interpolation signal, and the length of the interpolation filter is equal to the length of the sliding window filter ; An adaptive operation module, used to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter, wherein the length of the sliding window filter is variable.

Preferably, the adaptive equalizer further includes: a pulse shaping filter, used for performing pulse shaping filtering on the data received by the antenna of the MIMO system; a rate conversion module, used for equalizing the adaptive equalizer The rate conversion is performed on the data equalized by the filter; the multi-channel signal combining module is used to combine the data converted by the rate converting module.

Preferably, the equalization filter, the sliding window filter, the pulse shaping filter and the interpolation filter are all finite impulse response filters.

Preferably, the adaptive operation module uses the least square method or the least mean square error algorithm to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter.

According to another aspect of the present invention, there is also provided a method for generating coefficients of an equalization filter for a MIMO system, including: using a sliding window filter to perform sliding window filtering on the merged data to obtain an estimate of the data value; the estimated value is compared with the predetermined expected value to generate an error signal; the interpolation filter is used to interpolate the data processed by the pulse shaping filter of the adaptive equalizer to generate an interpolation signal, and the length of the interpolation filter and the sliding window The lengths of the filters are equal; the error signal and the interpolation signal are calculated to obtain the coefficients of the equalization filter, wherein the length of the sliding window filter is variable.

Preferably, calculating the error signal and the interpolation signal to obtain the coefficients of the equalization filter specifically includes: calculating the error signal and the interpolation signal using a least square method or a minimum mean square error algorithm to obtain the coefficients of the equalization filter.

Preferably, the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256.

With the help of at least one of the above-mentioned technical solutions of the present invention, the coefficients of the equalization filter are obtained by operating the error signal and the interpolation signal respectively generated by the sliding window filter and the interpolation filter with variable length and equal length, so that the equalization filter The coefficient update frequency of the filter is variable, thereby avoiding the technical problem of large error in the output data of the adaptive equalizer caused by the slow change of the coefficient update frequency of the equalization filter when the channel environment changes rapidly, and reducing the The technical effect of adaptive equalizer output error and improving the convergence speed of adaptive equalization.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the description, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the attached picture:

FIG. 1 is a schematic structural diagram of an adaptive equalizer used in a MIMO system in the related art;

2 is a block diagram of a coefficient generating circuit for an equalizing filter of a MIMO system according to a first embodiment of the present invention;

3 is a block diagram of an adaptive equalizer for a MIMO system according to a second embodiment of the present invention;

4 is a flowchart of a method for generating coefficients of an adaptive equalizer for a MIMO system according to a third embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an adaptive equalizer for a WCDMA communication system with two inputs and two outputs according to a fourth embodiment of the present invention.

Detailed ways

The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the present invention. It will be evident, however, that the invention may be practiced without these specific details, and furthermore, without conflicting, that is, without departing from the spirit and scope as set forth in the appended claims, the following embodiments And each detail in the embodiment can be combined in various ways.

first embodiment

FIG. 2 is a block diagram of a coefficient generation circuit of an equalization filter for a MIMO system according to a first embodiment of the present invention.

As shown in FIG. 2, the coefficient generation circuit 200 for the equalization filter of the MIMO system according to the first embodiment of the present invention includes: a sliding window filter 202, which is used to perform sliding window filtering on the combined data to The estimated value of the data is obtained; the data comparison module 204 is used to compare the estimated value with the predetermined expected value to generate an error signal; the interpolation filter 206 is used to process the data processed by the pulse shaping filter of the adaptive equalizer Interpolation to generate an interpolation signal, the length of the interpolation filter is equal to the length of the sliding window filter; the adaptive operation module 208 is used to calculate the error signal and the interpolation signal to obtain the coefficient of the equalization filter, wherein the sliding window filter variable length.

According to the first embodiment of the present invention, the coefficient generation circuit for the equalization filter of the MIMO system performs an error signal and an interpolation signal respectively generated by a sliding window filter and an interpolation filter with variable and equal lengths. operation to obtain the coefficients of the equalization filter, so that the coefficient update frequency of the equalization filter is variable, thereby avoiding the adaptive equalization caused by the slow change of the coefficient update frequency of the equalization filter relative to the channel environment when the channel environment changes rapidly The technical problem of large error in the output data of the equalizer is solved, and the technical effect of reducing the output error of the adaptive equalizer and improving the convergence speed of the adaptive equalizer is achieved.

For example, when the channel environment changes slowly or the channel environment is good, the coefficient generation circuit for the equalization filter of the MIMO system according to the embodiment of the present invention can increase the length of the sliding window filter and the interpolation filter to slow down the update frequency of the coefficients of the equalization filter, thereby reducing the computational complexity of the entire system without affecting the receiving performance; when the channel environment changes rapidly or the channel environment is poor, the The coefficient generation circuit of the equalization filter of the multi-input multi-output system can make the coefficient update frequency of the equalization filter faster by reducing the length of the sliding window filter and the interpolation filter, so that the adaptive equalizer can better track The change of channel, thereby reduces the output data error of adaptive equalizer; The circuit achieves an optimal balance between performance and computational load.

Preferably, both the sliding window filter and the interpolation filter are finite impulse response (Finite Impulse Response, FIR) filters.

The sliding window filter, pulse shaping filter, and interpolation filter are all FIR filters, so that the data path structure corresponding to each antenna in the MIMO system is exactly the same, and their control is basically similar, so as to achieve the purpose of simplifying the system structure.

Preferably, the adaptive operation module uses the least square method or the least mean square error algorithm to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter.

Using the least square method or the minimum mean square error algorithm can achieve good receiving performance with low computational complexity. If the least square method adaptive algorithm is used, the system mainly includes multiplication and addition, which avoids correlations such as G-RAKE receivers. The complex operation of matrix inversion in the technology reduces the computational complexity. Optionally, a constant envelope algorithm may also be used to calculate the error signal and the interpolation signal to obtain coefficients of the equalization filter.

Preferably, the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256.

The length of the sliding window filter can be changed with the change of the channel environment. For example, when the channel environment changes rapidly or the channel environment is poor, 16 chips can be taken as the length of the sliding window filter. Since the length of the interpolation filter It is equal to the length of the sliding window filter, so the length of the interpolation filter is also 16 chips at this time; when the channel environment changes slowly or the channel environment is good, 256 chips can be taken as the length of the sliding window filter , since the length of the interpolation filter is equal to the length of the sliding window filter, the length of the interpolation filter at this time is also 256 chips.

In addition, since the processing unit of the coefficient generation circuit of the equalization filter for the MIMO system according to the embodiment of the present invention is a chip, compared with the coefficient generation circuit of the equalization filter in the related art that uses symbols as the processing unit , which has higher processing precision, so that the block error rate is lower.

According to the first embodiment of the present invention, the coefficient generation circuit for the equalization filter of the MIMO system performs an error signal and an interpolation signal respectively generated by a sliding window filter and an interpolation filter with variable and equal lengths. The coefficients of the equalization filter are obtained through calculation, so as to achieve the technical effect of reducing the output error of the adaptive equalizer and improving the system performance.

second embodiment

FIG. 3 is a block diagram of an adaptive equalizer for a MIMO system according to a second embodiment of the present invention.

As shown in Figure 3, the adaptive equalizer for the MIMO system according to the second embodiment of the present invention includes: an equalization filter 302, which is used to equalize the data processed by the pulse shaping filter; coefficient generation The circuit 200 is used to provide coefficients to the equalization filter, and the coefficient generation circuit 200 includes: a sliding window filter 202, which is used to perform sliding window filtering on the data combined by the multi-channel signal combining module to obtain an estimated value of the data; data comparison Module 204 is used to compare the estimated value with the predetermined expected value to generate an error signal; the interpolation filter 206 is used to interpolate the data processed by the pulse shaping filter to generate an interpolation signal, and the length of the interpolation filter is the same as the sliding The lengths of the window filters are equal; the adaptive operation module 208 is configured to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter, wherein the length of the sliding window filter is variable.

The adaptive equalizer for MIMO system according to the second embodiment of the present invention is obtained by operating the error signal and the interpolation signal respectively generated by using the sliding window filter and the interpolation filter with variable length and equal length The coefficients of the equalization filter make the update frequency of the coefficients of the equalization filter variable, thus avoiding the output data of the adaptive equalizer caused by the slow change of the coefficient update frequency of the equalization filter relative to the channel environment when the channel environment changes rapidly. The technical problem of large error is solved, and the technical effect of reducing the output error of the adaptive equalizer and improving the convergence speed of the adaptive equalization is achieved.

For example, when the channel environment changes slowly or the channel environment is good, the coefficient generation circuit for the equalization filter of the MIMO system according to the embodiment of the present invention can increase the length of the sliding window filter and the interpolation filter to slow down the update frequency of the coefficients of the equalization filter, thereby reducing the computational complexity of the entire system without affecting the receiving performance; when the channel environment changes rapidly or the channel environment is poor, the The coefficient generation circuit of the equalization filter of the multi-input multi-output system can make the coefficient update frequency of the equalization filter faster by reducing the length of the sliding window filter and the interpolation filter, so that the adaptive equalizer can better track The change of channel, thereby reduces the output data error of adaptive equalizer; The circuit achieves an optimal balance between performance and computational load.

Preferably, the adaptive equalizer further includes: a pulse shaping filter 304, which is used to perform pulse shaping filtering on the data received by the antenna of the MIMO system; The data equalized by the equalization filter is subjected to rate conversion; the multi-channel signal combination module 308 is used to combine the data converted by the rate conversion module.

In the embodiment of the present invention, the number of pulse shaping filters is equal to the number of receiving antennas in the MIMO system; the number of equalization filters is equal to the number N of receiving antennas in the MIMO system multiplied by the number M of transmitting antennas, that is, each receiving The antenna is connected with M equalization filters.

Preferably, the equalization filter, the sliding window filter, the pulse shaping filter and the interpolation filter are all FIR filters.

The equalization filter, sliding window filter, pulse shaping filter, and interpolation filter are all FIR filters, so that the structure of the data path corresponding to each antenna in the MIMO system is exactly the same, and its control is basically similar, so as to achieve the simplification of the system structure Purpose. In addition, since the filters of each part are FIR filters, the existing IPCORE system can be used for implementation, so that the system according to the embodiment of the present invention is applicable to implementations based on different manufacturers and different types of FPGAs or ASICs. Optionally, the equalization filter may also use an infinite impulse response filter.

Preferably, the adaptive operation module uses the least square method or the least mean square error algorithm to calculate the error signal and the interpolation signal to obtain the coefficients of the equalization filter.

Using the least square method or the minimum mean square error algorithm can achieve good receiving performance with low computational complexity. If the least square method adaptive algorithm is used, the system mainly includes multiplication and addition, which avoids correlations such as G-RAKE receivers. The complex operation of matrix inversion in the technology reduces the computational complexity. Optionally, a constant envelope algorithm may also be used to calculate the error signal and the interpolation signal to obtain coefficients of the equalization filter.

The adaptive equalizer for MIMO system according to the second embodiment of the present invention is obtained by operating the error signal and the interpolation signal respectively generated by using the sliding window filter and the interpolation filter with variable length and equal length The coefficients of the equalization filter are used to achieve the technical effects of reducing the output error of the adaptive equalizer, increasing the convergence speed of the adaptive equalization, and improving the system performance.

third embodiment

FIG. 4 is a flowchart of a method for generating coefficients of an adaptive equalizer for a MIMO system according to a third embodiment of the present invention.

As shown in FIG. 4, the method for generating coefficients of an adaptive equalizer for a MIMO system according to a third embodiment of the present invention includes the following steps:

Step S402, using a sliding window filter to perform sliding window filtering on the merged data to obtain an estimated value of the data;

Step S404, comparing the estimated value with a predetermined expected value to generate an error signal;

Step S406, using an interpolation filter to interpolate the data processed by the pulse shaping filter of the MIMO system to generate an interpolation signal, the length of the interpolation filter is equal to the length of the sliding window filter;

Step S408, calculating the error signal and the interpolation signal to obtain coefficients of the adaptive equalizer, wherein the length of the sliding window filter is variable.

According to the third embodiment of the present invention, the method for generating coefficients of an adaptive equalizer for a MIMO system uses the error signal and the interpolation signal respectively generated by a sliding window filter and an interpolation filter with variable and equal lengths. Perform calculations to obtain the coefficients of the equalization filter, so that the update frequency of the coefficients of the equalization filter is variable, thereby avoiding the self-adaptation caused by the slow change of the coefficient update frequency of the equalization filter relative to the channel environment when the channel environment changes rapidly The technical problem of large error in the output data of the equalizer achieves the technical effect of reducing the output error of the adaptive equalizer.

Preferably, calculating the error signal and the interpolation signal to obtain the coefficient of the adaptive equalizer specifically includes: calculating the error signal and the interpolation signal by using a least square method or a minimum mean square error algorithm to obtain the coefficient of the adaptive equalizer.

Using the least square method or the minimum mean square error algorithm can achieve good receiving performance with low computational complexity. If the least square method adaptive algorithm is used, the system mainly includes multiplication and addition, which avoids correlations such as G-RAKE receivers. The complex operation of matrix inversion in the technology reduces the computational complexity. Optionally, a constant envelope algorithm may also be used to calculate the error signal and the interpolation signal to obtain coefficients of the equalization filter.

Preferably, the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256.

The length of the sliding window filter can be changed with the change of the channel environment. For example, when the channel environment changes rapidly or the channel environment is poor, 16 chips can be taken as the length of the sliding window filter. Since the length of the interpolation filter It is equal to the length of the sliding window filter, so the length of the interpolation filter is also 16 chips at this time; when the channel environment changes slowly or the channel environment is good, 256 chips can be taken as the length of the sliding window filter , since the length of the interpolation filter is equal to the length of the sliding window filter, the length of the interpolation filter at this time is also 256 chips.

According to the third embodiment of the present invention, the method for generating coefficients of an adaptive equalizer for a MIMO system uses the error signal and the interpolation signal respectively generated by a sliding window filter and an interpolation filter with variable and equal lengths. The calculation is performed to obtain the coefficients of the equalization filter, so as to achieve the technical effects of reducing the output error of the adaptive equalizer, increasing the convergence speed of the adaptive equalization, and improving the system performance.

Fourth embodiment

Hereinafter, the adaptive equalization for a MIMO system according to the fourth embodiment of the present invention will be described in conjunction with the structural schematic diagram of an adaptive equalizer for a WCDMA communication system with two inputs and two outputs shown in FIG. 5 The coefficient generation method of the device is described in detail. The method for generating coefficients of an adaptive equalizer for a MIMO system according to a fourth embodiment of the present invention includes the following steps:

Step 1: The receiving antennas 1 and 2 of the receiver of the WCDMA communication system receive the data, and send them to the FIR filters S1 and S2 respectively for pulse shaping filtering;

Step 2: After filtering the data received by antenna 1, send it to two equalization filters F11 and F21 connected to the pulse shaping filter respectively, and filter the data received by antenna 2, and send it to Enter 2 equalization filters F12 and F22 that are connected with this pulse shaping filter, the equalization filter coefficient can be the initial value of setting arbitrarily;

Step 3: F11 and F12 equalized data are merged after data rate conversion, and F21 and F22 equalized data are merged after the rate conversion unit downsamples to a normal chip rate of 3.84Mcps;

Step 4: Perform sliding window filtering on the combined two-way data in the sliding window filter C1 to generate an estimated value of the data; the length of the sliding window filter can be 16, 32, 64, 128 or 256 according to the channel environment, The coefficients of the sliding window filter can be pre-generated and read out in order when used;

Step 5: Compare the estimated value of the generated data with the expected signal d1 to generate two error signals e1 and e2;

Step 6: The antenna data filtered by the pulse shaping filter are also sent to the interpolation filter I1 for interpolation while being sent to the equalization filter to generate four interpolation signals u11, u12, u21, u22, and the interpolation filter is also Using the FIR filter, the length of the filter is variable, which is the same as the length of the sliding window filter. The coefficients of the sliding window filter can be pre-generated and read out in order when used;

Step 7: Send the error signal e1 and the corresponding interpolation signals u11 and u12 to the corresponding adaptive computing unit W1, and use the LMS or RLS algorithm to calculate the corresponding equalizer F11 and F12 coefficients; the error signal e2 and the corresponding interpolation signal u21 and u22 are sent to the corresponding adaptive computing unit, and the corresponding equalizer F21 and F22 coefficients are calculated using the LMS or RLS algorithm;

Step 8: update the corresponding equalization filter coefficients according to the calculation results;

Step 9: Repeat steps 1-8 to process the next data.

According to the fourth embodiment of the present invention, the method for generating coefficients of an adaptive equalizer for a MIMO system uses the error signal and the interpolation signal respectively generated by the variable-length and equal-length sliding window filter and the interpolation filter. The calculation is performed to obtain the coefficients of the equalization filter, so as to achieve the technical effect of reducing the output error of the adaptive equalizer and improving the system performance.

With the help of at least one of the above-mentioned technical solutions of the present invention, the coefficients of the equalization filter are obtained by calculating the error signal and the interpolation signal generated by the sliding window filter and the interpolation filter with variable length and equal length, so as to reduce the Adaptive equalizer output error, improve adaptive equalization convergence speed, improve the technical effect of system performance; The coefficient generation circuit of the equalization filter achieves an optimal balance between performance and computational load.

Obviously, those skilled in the art should understand that each module or each step of the above-mentioned present invention can be realized by a general-purpose computing device, and they can be concentrated on a single computing device, or distributed in a network formed by multiple computing devices Optionally, they can be implemented with program codes executable by a computing device, so that they can be stored in a storage device and executed by a computing device, or they can be made into individual integrated circuit modules, or they can be integrated into Multiple modules or steps are fabricated into a single integrated circuit module to realize. As such, the present invention is not limited to any specific combination of hardware and software.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (11)

1. A coefficient generating circuit for an equalizing filter of a multiple-input multiple-output system, characterized in that, comprising: The sliding window filter is used to perform sliding window filtering on the data after the equalization filter equalizes the data combined by the multi-channel signal combining module after the data rate conversion to obtain the estimated value of the data; a data comparison module, configured to compare the estimated value with a predetermined expected value to generate an error signal; an interpolation filter, for interpolating the data processed by the pulse shaping filter of the adaptive equalizer to generate an interpolation signal, the length of the interpolation filter is equal to the length of the sliding window filter; an adaptive operation module, configured to calculate the error signal and the interpolation signal to obtain coefficients of the equalization filter, Wherein, the length of the sliding window filter is variable, and the equalization filter is included in the adaptive equalizer. 2 . The coefficient generation circuit according to claim 1 , wherein both the sliding window filter and the interpolation filter are finite impulse response filters. 3. The coefficient generating circuit according to claim 1, wherein the adaptive operation module calculates the error signal and the interpolation signal using a least square method or a minimum mean square error algorithm to obtain the equalized filter coefficient of the device. 4. The coefficient generation circuit according to claim 1, wherein the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256. the 5. An adaptive equalizer for MIMO system, characterized in that, comprising: an equalization filter for equalizing the data processed by the pulse shaping filter; A coefficient generation circuit for providing coefficients to the equalization filter, the coefficient generation circuit comprising: A sliding window filter, which is used to perform sliding window filtering on the data after the equalized data is converted by the multi-channel signal combining module to obtain an estimated value of the data; a data comparison module, configured to compare the estimated value with a predetermined expected value to generate an error signal; an interpolation filter, used to interpolate the data processed by the pulse shaping filter to generate an interpolation signal, the length of the interpolation filter is equal to the length of the sliding window filter; an adaptive operation module, configured to calculate the error signal and the interpolation signal to obtain coefficients of the equalization filter, Wherein, the length of the sliding window filter is variable. 6. The adaptive equalizer according to claim 5, further comprising: the pulse-shaping filter for performing pulse-shaping filtering on data received via the antenna of the MIMO system; A rate conversion module, configured to perform rate conversion on the data equalized by the equalization filter of the adaptive equalizer; The multi-channel signal combining module is used to combine the data converted by the rate conversion module. 7. The adaptive equalizer according to claim 6, wherein the equalization filter, the sliding window filter, the pulse shaping filter, and the interpolation filter are all finite impulse response filters . 8. The adaptive equalizer according to claim 5, wherein the adaptive computing module uses a least square method or a minimum mean square error algorithm to calculate the error signal and the interpolation signal to obtain the equalized The coefficients of the filter. 9. A coefficient generation method for an equalization filter of a multiple-input multiple-output system, characterized in that, comprising: Using a sliding window filter to perform sliding window filtering on the data after the equalized data is converted by the multi-channel signal combining module after data rate conversion to obtain an estimated value of the data; comparing said estimated value with a predetermined expected value to generate an error signal; Using an interpolation filter to interpolate the data processed by the pulse shaping filter of the adaptive equalizer to generate an interpolation signal, the length of the interpolation filter is equal to the length of the sliding window filter; calculating said error signal and said interpolated signal to obtain coefficients of said equalization filter, Wherein, the length of the sliding window filter is variable, and the equalization filter is included in the adaptive equalizer. 10. The coefficient generating method according to claim 9, wherein calculating the error signal and the interpolation signal to obtain the coefficient of the equalization filter specifically comprises: The error signal and the interpolation signal are calculated using a least square method or a minimum mean square error algorithm to obtain coefficients of the equalization filter. the 11. The coefficient generating method according to claim 9, wherein the length of the sliding window filter is one of the following: 16, 32, 64, 128 or 256. the

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