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A channel equalization method and equalizer based on joint algorithm of rls and lms

A technology of channel equalization and equalizer, which is applied in the field of communication, can solve the problem of high complexity of RLS equalizer, and achieve the effect of good scientific research application value, simple solution and excellent performance

Active Publication Date: 2017-12-29
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The purpose of the present invention is to provide a more practical RLS-LMS joint algorithm in order to overcome the relatively high complexity of the RLS equalizer

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  • A channel equalization method and equalizer based on joint algorithm of rls and lms
  • A channel equalization method and equalizer based on joint algorithm of rls and lms
  • A channel equalization method and equalizer based on joint algorithm of rls and lms

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Embodiment Construction

[0061] The solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0062] figure 1 It is a functional block diagram of the equalizer of the present invention. Combine below figure 1 , the RLS-LMS joint design scheme of the present invention is described in detail:

[0063] Step 1. Use the RLS equalization algorithm on the data to train the equalizer tap coefficients until the equalizer reaches convergence;

[0064] The RLS equalizer has a fast convergence speed, and each convergence point is an optimal point. Therefore, in the equalizer tap training phase, the RLS algorithm needs to be used to achieve convergence as soon as possible. Let the length of the equalizer be N and the coefficient vector be W, then the equalization process is shown in the following formula:

[0065]

[0066]

[0067] e(i)=s(i)-W H x

[0068] W=W+ke(i) *

[0069] Among them, k is the Kalman gain vector, ...

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Abstract

The present invention relates to a channel equalization method and system based on the joint algorithm of RLS and LMS, said method comprising: step 101) using the RLS equalization algorithm to train the tap coefficients of the equalizer based on the training data until the equalizer reaches convergence, assuming that the training data When the Nc-th iteration is performed, the equalizer reaches convergence; step 102) Iterates the "j"th bit of the received user data, and adds a window to the error value obtained by the iteration, and calculates the average error autocorrelation of the data in the fixed-length sliding window Estimate; step 103) compare the estimated value of the average error autocorrelation with the preset threshold, and select an equalization algorithm, the equalization algorithm includes: RLS equalization algorithm and LMS equalization algorithm; step 104) adopt the selected equalization algorithm Equalize the jth user data, update j=j+1, and then return to step 102), until all received user data are processed. The solution of the present invention has better performance in time-varying channels and can meet real-time requirements.

Description

technical field [0001] The present invention relates to the communication field, in particular to recursive least square (Recursive Least Square, RLS) and least mean square (Least Mean Square, LMS) equalizer technology in adaptive equalization technology. Specifically, it involves adaptively selecting different equalization techniques according to channel changes. Background technique [0002] In the field of adaptive equalization in communication, LMS equalization and RLS equalization are the two most widely used technologies. The LMS algorithm is obtained by minimizing the mean square error. The algorithm is simple and the complexity is low, but its convergence is slow, and it often cannot achieve convergence in fast time-varying channels, and its performance is poor. The RLS algorithm makes up for the slow convergence of the LMS algorithm by minimizing the weighted sum of the square errors. Compared with the LMS algorithm, it greatly reduces the length of the training se...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03
Inventor 戚肖克李宇黄海宁
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI