Blind equalization algorithm for burst signal

Abstract

The invention discloses a blind equalization method for a burst signal. The blind equalization method comprises the following steps of: first performing rapid channel estimation on a wireless channel by adopting a per-survivor sequence algorithm to obtain a forward estimated channel parameter; then decomposing the forward estimated channel parameter into a system consisting of a minimum phase system and a maximum phase system, which are connected in series, when the mean square error of the forward estimated channel parameter is less than 0.05 and the forward estimated channel parameter is not a minimum phase, and inverting the minimum phase system and the maximum phase system respectively to obtain a linear equalizer initialization coefficient; and finally substituting the linear equalizer initialization coefficient into a decision directed minimum mean square error algorithm to realize rapid blind equalization. According to the blind equalization algorithm for the burst signal, the rapid blind equalization of the burst signal is realized, the complexity of the algorithm is lowered, and the real-time processing performance of the algorithm is ensured.

Description

technical field [0001] The present invention relates to the field of radio communication, more specifically, relates to a burst signal blind equalization algorithm. Background technique [0002] In the process of radio communication, burst signal communication has the characteristics of large user capacity and strong adaptability. However, due to its short signal duration and large channel differences between signals, it has always been a forbidden area for blind equalization algorithms. With the increase of communication capacity, the method of training sequence guidance to achieve equalization reduces the channel capacity, and has poor tracking ability for fast-changing channels, which cannot meet the requirements of communication development. The traditional blind equalization algorithm has the disadvantages of large residual error and slow convergence speed, and cannot meet the needs of burst signal equalization. The blind equalization algorithm for burst signals must s...

AI Technical Summary

Problems solved by technology

With the increase of communication capacity, the method of training sequence guidance to achieve equalization reduces the channel capacity, and has poor tracking ability for fast-changing channels, which cannot meet the requirements of communication development.

The traditional blind equalization algorithm has the disadvantages of large residual error and slow convergence speed, and cannot meet the needs of burst signal equalization

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