In this paper, an Absolute Average Error-based Adjusted Step Size LMS (AAE-ASSLMS) algorithm is proposed, which overcome and avoid one of the drawbacks of the standard LMS algorithm. This drawback is convergence speed – misadjustment trade off problem. In this proposed algorithm an appropriate time varying value of the step size is calculated based on gradually decreasing maximum step size to the minimum value. This time varying step size is based on the absolute average value of the current and the previous estimation errors. The transition from larger step size into smaller one is taking place smoothly, as will be seen from the results. The proposed algorithm shows through a computer simulation result fast convergence time and low level of misadjustment compared with tradtional LMS and another Variable Step Size LMS algorithm (VSSLMS) for adaptive noise cancellation system. The proposed algorithm shows through the computer simulation results higher attenuation performance and good estimation weight coefficients.
2nd Mosharaka International Conference on Mobile Computing and Wireless Communications (MIC-MCWC 2011)
Congress
2011 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2011), 3-5 June 2011, Istanbul, Turkey
Pages
9-14
Topics
Adaptive Signal Processing Digital Signal Processing
ISSN
2227-331X
DOI
BibTeX
@inproceedings{68MCWC2011,
title={Absolute Average Error Based Adjusted Step Size LMS Algorithm for Adaptive Noise Canceller},
author={Thamer M. Jamel, and Haider Mohamed},
booktitle={2011 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2011)},
year={2011},
pages={9-14},
doi={}},
organization={Mosharaka for Research and Studies}
}