Simulation annealing and fruit fly hybrid optimization wavelet generalized discrete multi-modulus blind equalization method

Abstract

The invention discloses a simulation annealing and fruit fly hybrid optimization wavelet generalized discrete multi-module blind equalization method. The method comprises initializing location vectors of fruit flies in a swarm of fruit flies to serve as the decision variable of the simulation annealing method and the fruit fly hybrid optimization method, taking an input signal of an orthogonal wavelet transformer as the input of the hybrid optimization method, determining a smell concentration function of the fruit flies by a cost function of the generalized discrete multi-modulus blind equalization method, performing simulation annealing operation on the optimal location vector of the swarm of the fruit flies obtained through the fruit fly optimization method, obtaining the global optimal location vector, which does not fall into a local minimum, of the swarm of the fruit flies, and taking the location vector as the initialization weight vector of the wavelet generalized discrete multi-modulus blind equalization method. The method, while processing high-order orthogonal amplitude modulation signals, is rapid in convergence, small in steady state error, overcomes a defect of falling into the local optimum, and has strong practicality.

Description

technical field [0001] The invention relates to a blind equalization method, in particular to a simulated annealing and fruit fly mixed optimization wavelet generalized discrete multi-mode blind equalization method. Background technique [0002] Traditional Multi-modulus Algorithm (MMA) (see literature [1] Xu Xiaodong, Dai Peichu, Xu Xiaoxia. A weighted multi-modulus blind equalization algorithm suitable for high-order QAM signals [J]. Journal of Electronics and Information Technology, 2007.6,29( 6): Rain 1352~1355. Literature [2]J.Yang, GDumont.The MultimodulusBlindequalizationandItsGeneralizedAlgorithms.2002(20)5:997-1015.) The real and imaginary parts of the QAM signal are equalized separately, effectively correcting the QAM signal phase rotation, but for high-order QAM signals, the effect of MMA equalization is still not ideal. The generalized discrete multi-mode blind equalization method uses the gradient descent algorithm to update the equalizer weight vector, which i...

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Problems solved by technology

[0004] The purpose of the present invention is to address the defects existing in the equalization of high-order quadrature amplitude modulation signals (QAM) in the existing blind equalization technology (see literature [9] Wang Bin, Ge Lindong, Huo Yajuan. Multi-mode hybrid blind for high-order QAM signals Equalization Algorithm [J]. Data Acquisition and Processing. 2011.26 (1): 8-14.), invented a simulated annealing and fruit fly mixed optimization wavelet generalized discrete multi-mode blind equalization method (SA-FOA-WT-GSMMA)

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