LMS algorithm processing time-delay sensitive based delayed decision feedback equalization method and system

Abstract

The invention belongs to the field of wireless communication, and discloses an LMS algorithm processing time-delay sensitive based delayed decision feedback equalization method and system. The systemapplies a variable step LMS algorithm based decision feedback equalizer to the receiving processing of a disturbed signal. As a wireless communication channel exists a time-varying property, the convergence speed of LMS needs to be further accelerated to make the equalizer track channel changes better and in real time. The variable step LMS algorithm adopts a larger iterative step to accelerate the convergence speed during an initial working phase, and adopts a smaller iterative step to reduce steady-state error during a convergence phase, so that an original signal can be effectively recovered. The method and system have advantages of fast in convergence speed, less in steady-state error, little in processing time-delay and easy for realization.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a delayed decision feedback equalization method and system based on a variable step size LMS algorithm for processing time-delay sensitivity. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: In recent years, with the development of wireless communication technology, more and more communication applications appear in people's life. The fading and distortion of the transmitted signal caused by wireless channel transmission, as well as the multipath effect caused by the different transmission environments of transceivers seriously affect the performance of the communication system and reduce people's daily communication experience. Adding a decision feedback equalizer at the receiving end is an effective way to deal with nonlinear distortion of wireless channels, and the equalization system needs to r...

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Problems solved by technology

[0007] In summary, the problems in the prior art are: Although the traditional LMS algorithm has good stability, its convergence speed is slow; the existing variable step size algorithm has the advantages of fast convergence speed and small steady-state error, but the calculation time delay is long, which is not conducive to the delay decision feedback equalizer. accomplish

However, in order to improve the system transmission rate in the specific implementation, the delay feedback equalizer used is very sensitive to delay. When the calculation delay is greater than 15 unit delays, the system is extremely unstable, so it is necessary to further reduce the calculation delay of the variable step size LMS

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