基于箕舌线变步长LMS算法的分析与改进  

Analysis and Improvement of a Variable Step LMS Algorithm Based on Correlation Tongue - Like Curve

作　　者：胡春娇[1] 杨顺[1] 

机构地区：[1]辽宁工程技术大学,辽宁葫芦岛125105

出　　处：《计算机仿真》2010年第11期359-362,共4页Computer Simulation

摘　　要：研究系统跟踪性能和误差问题,为了改善基于箕舌线的变步长最小均方(LMS)算法的收敛速度和对信号输入端不相关噪声的抗干扰性,首先对现有的典型变步长LMS算法进行了分析归纳。在箕舌线变步长LMS算法(TCLMS)的基础上通过结合其他典型算法的优点,提出了TCLMS算法的改进算法。算法不仅继承了TCLMS算法计算复杂度低的优点,并且通过引入动量项与前后误差的自相关估计对其收敛速度慢,抗不相关噪声干扰性能差的特性进行了改善。在MATLAB进行仿真,结果表明,改进算法具有收敛速度快,计算复杂度低,稳态误差小,抗噪声能力强等特点。关键词:In order to improve the convergence rate and anti-noise performance of variable step size LMS algorithm based on correlation tongue-like curve,this paper analyzes some typical variable step adaptive LMS algorithms.Through combining the advantages of some other typical algorithms,an improved algorithm which is a new variable step adaptive algorithm based on tongue-like curve（TCLMS） is proposed.The new algorithm not only inherits the advantages of TCLMS algorithm,but also uses the estimation of the autocorrelation about adjacent error sig-nals and momentum to speed up the convergence rate and improve the anti-noise performance.MATLAB simulation results show that the new algorithm has fast convergence rate,low computational complexity and the steady-state error or strong anti-noise ability.

关 键 词：变步长 最小均方算法 箕舌线 动量项 

分 类 号：TN911.4[电子电信—通信与信息系统]