【作者】 孙静； 郭业才；

【Author】 SUN Jing~1,GUO Yecai~(1,2) (1.School of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China 2.College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044, China)

【机构】 安徽理工大学电气与信息工程学院； 南京信息工程大学电子与信息工程学院；

【摘要】 为了克服多模盲均衡算法(MMA)收敛速度慢、稳态误差大的缺点,提出了一种混沌优化的正交小波多模盲均衡算法(CO-WT-MMA)。该算法在MMA算法的基础上,通过归一化正交小波变换(WT-MMA)加快了收敛速度,同时利用混沌变量的遍历性对权向量当前点进行扰动,在搜索进程中通过时变参数逐渐减小扰动幅度,从而使权向量达到全局最优值。水声信道仿真结果表明,与MMA算法及WT-MMA算法相比,CO-WT-MMA算法具有更快的收敛速度和更小的稳态均方误差。更多还原

【Abstract】 In order overcome the slow convergence rate and large state error of the MMA,an orthogonal wavelet transform weighted multi-modulus blind equalization algorithm based on the chaos optimization algorithm (CO-WT-MMA) was proposed.Based on the MMA,the proposed algorithm improved the convergence rate by using the orthogonal wavelet transform to normalizing the transmission signal(WT-MMA),meanwhile,using the ergodicity of chaotic to disturb the initial weights,in the search process make use of the time-varying parameter to reduce disturbance amplitude gradually,thus the weight vector can converge to the global optimal solution.Computer simulations in underwater acoustic channels indicate that the proposed algorithm outperforms MMA and WT-MMA in convergence rate and mean square error.更多还原