Title :
Robust adaptive equalization using the filtered-X LMS algorithm
Author :
Hu, J. ; Wu, H.R.
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Monash Univ., Clayton, Vic., Australia
Abstract :
The filtered-X LMS algorithm is currently the most popular method for adaptive filter design when there exists a transfer function in the error path. We introduce and modify this concept in the application of adaptive equalization for communication channels. A computer experiment was conducted on the equalization of a time-varying communication channel using both conventional LMS and modified filtered-X LMS algorithms. Monte Carlo simulation results demonstrate that the filtered-X has a better robust performance than that of the conventional LMS
Keywords :
Monte Carlo methods; adaptive equalisers; adaptive filters; digital communication; least mean squares methods; time-varying channels; Monte Carlo simulation; adaptive filter design; communication channels; computer experiment; digital communication; error path; filtered-X LMS algorithm; robust adaptive equalization; time-varying communication channel; transfer function; Adaptive equalizers; Adaptive filters; Error correction; Finite impulse response filter; Inverse problems; Least squares approximation; Noise robustness; Nonlinear filters; Signal processing algorithms; Transfer functions;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.818201
