Title :
An improved NLMS algorithm for channel equalization
Author :
Tsuda, Yusuke ; Shimamura, Tetsuya
Author_Institution :
Dept. of Inf. & Comput. Sci., Saitama Univ., Japan
Abstract :
A novel adaptive filter algorithm has been proposed that provides faster convergence than the least mean square (LMS) and normalized LMS (NLMS) algorithms. The NLMS algorithm is studied and modified so that the error sequence is used for designing the step size parameter at each iteration. A strategy to reduce the computational complexity the NLMS adaptation requires is used in the proposed algorithm. Computer simulations demonstrate that in the scenario of channel equalization, the proposed algorithm based on the structure of a transversal filter accomplishes faster start-up than the combined LMS/F algorithm recently addressed.
Keywords :
adaptive equalisers; adaptive filters; computational complexity; convergence of numerical methods; least mean squares methods; NLMS algorithm; adaptive filter algorithm; channel equalization; computational complexity; computer simulations; convergence; error sequence; improved normalized LMS algorithm; step size parameter; transversal filter structure; Adaptive algorithm; Adaptive equalizers; Adaptive filters; Algorithm design and analysis; Computer simulation; Convergence; Digital communication; Least squares approximation; Robustness; Transversal filters;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010713
