基于布谷鸟搜索算法优化的正交小波多模盲均衡算法

An Orthogonal Wavelet Transform Multi-modulus Blind Equalization Algorithm Based on Optimization of Cuckoo Search Algorithm

提出了一种新的盲均衡算法—基于布谷鸟搜索算法优化的小波多模盲均衡算法(CSWT-MMA),该算法利用正交小波变换(WT)降低信号的信噪比,并将具有卓越的全局搜索能力的布谷鸟搜索(CS)算法引入多模盲均衡算法(MMA).水声仿真结果表明,新算法能较好地捕获全局最优解,有效改善了MMA容易陷入局部最小值、收敛速度慢、稳态误差大等问题,具有更快的收敛速度和更小的均方误差,均衡质量更高.

CS-WT-MMA （orthogonal Wavelet Transform Multi-modulus blind Equalization Algorithm Based on Optimization of Cuckoo Search Algorithm） was proposed. In the proposed algorithm, MMA is integrated with CS and WT, the de-correlation ability of WT is used to reduce the signal autocorrelation, and the global search ability of CS algorithm integrating with the local search ability of chaos algorithm is used to optimize the equalizer weight vector. The results from computer simulation show that the proposed algorithm can improve the convergence rate and reduce the steady-state error.