Frequency domain magnitude banded LMS algorithm for equalization of rapidly time variant channels

Authors:
Mohammed H. Wondimagegnehu;Tetsuya Shimamura;Colin F. N. Cowan
Affiliations:
Department of Information and Computer Sciences, Saitama University, Saitama, Japan;Department of Information and Computer Sciences, Saitama University, Saitama, Japan;Department of Electrical and Electronic Engineering, The Queen's University of Belfast, Belfast, United Kingdom
Venue:
ISPRA'05 Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2005

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Abstract

Frequency domain adaptive filtering has become increasingly popular due to its computational efficiency and excellent adaptation behavior. This paper proposes a new frequency domain based magnitude banded least mean-square(FDMBLMS) algorithm for the purpose of equalization of a rapidly time-variant channel. FDMBLMS implements a non-linear adaptation procedure based on the magnitude level of the Fourier transform of the channel output. Computer simulation results obtained by using a second order Markov communication channel model shows that the proposed FDMBLMS algorithm provides a significant performance improvement compared to the standard frequency domain LMS as well as the existing time domain uniform amplitude banded LMS algorithms.