Orthogonal Wavelet Blind Equalization Method Based on Simulated Annealing Genetic Optimization

Abstract

The invention discloses an orthogonal wavelet blind equalization method based on simulated annealing genetic optimization. The method introduces the genetic algorithm into the orthogonal wavelet blind equalization method (WTCMA), utilizes the global search characteristic of the genetic algorithm, and calculates the equalizer weight vector Optimized to reduce the possibility of local convergence of WTCMA, reduce the steady-state error, and aim at the poor local search ability of the genetic algorithm, embedded the idea of ​​simulated annealing in the genetic algorithm, and invented the orthogonal wavelet blind based on simulated annealing genetic optimization The balanced method (SA-GA-WTCMA) corrects the premature phenomenon of the genetic algorithm, further reduces the steady-state error and accelerates the convergence speed. The simulation results of the underwater acoustic channel verify the effectiveness of the inventive method.

Description

technical field [0001] The invention relates to an orthogonal wavelet blind equalization method based on simulated annealing genetic optimization. Background technique [0002] In underwater acoustic communication, channel distortion produces inter-symbol interference (Inter-symbol Interference, ISI), which reduces the efficiency of communication. In order to eliminate ISI, a blind equalization method that does not require training sequences is introduced at the receiving end (see literature [1] Guo Yecai. Adaptive blind equalization technology [M]. Hefei University of Technology Press, 2007). Literature (see literature [2] Cooklev T.An Efficient Architecture for Orthogonal Wavelet Transforms [J]. IEEE Signal Processing Letters (S1070-9980), 2006, 13 (2): 77-79) shows that the orthogonal wavelet has a good De-correlation is introduced into the blind equalization method to speed up the convergence speed. However, the orthogonal wavelet transform blind equalization method use...

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Problems solved by technology

Literature (see literature [2] Cooklev T.An Efficient Architecture for Orthogonal Wavelet Transforms [J]. IEEE Signal Processing Letters (S1070-9980), 2006, 13 (2): 77-79) shows that the orthogonal wavelet has a good De-correlation is introduced into the blind equalization method to speed up the convergence speed. However, the orthogonal wavelet transform blind equalization method uses the gradient descent method (see literature [3] Xiao Ying, Liu Guozhi, Li Zhenxing, Dong Yuhua. Genetic optimization Underwater acoustic channel blind equalization of neural network [J]. Applied Acoustics. 2006, 25(6): 340-345) to search the weight vector of the equalizer can fall into local minimum, and the cost function needs to satisfy Guideable

Genetic Algorithm (see literature [4] Li Yuan, Zhang Li. Research on blind equalization algorithm of neural network optimized by genetic algorithm with real number coding [J]. Journal of Shanxi

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