Effects of Impulse Noise at Filter Input on Performance of Adaptive Filters Using the LMS and Signed Regressor LMS Algorithms

This paper presents an adaptive filtering system where impulse noise is present at filter input. To study adverse, or favorable, effects of such impulse noise on adaptive filter performance, we develop transient and steady-state analysis of adaptive filters using the LMS algorithm (LMSA) and signed...

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Veröffentlicht in:2006 International Symposium on Intelligent Signal Processing and Communications [sic.] : Yonago, Japan, December 12-15, 2006 S. 829 - 832
1. Verfasser: Koike, S.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2006
Schlagworte:
Adaptive filters
Additive noise
Algorithm design and analysis
Least squares approximation
Noise cancellation
Noise figure
Performance analysis
Signal processing algorithms
Steady-state
Transient analysis
ISBN:9780780397323, 0780397320
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Zusammenfassung:This paper presents an adaptive filtering system where impulse noise is present at filter input. To study adverse, or favorable, effects of such impulse noise on adaptive filter performance, we develop transient and steady-state analysis of adaptive filters using the LMS algorithm (LMSA) and signed regressor LMS algorithm (SRA). Through analysis and experiment, we find that the SRA exhibits significantly higher robustness against the impulse noise than the LMSA. For the SRA, we find that mean square tap weight misalignment (MSTWM) decreases as the impulse noise variance increases, attaining a minimum before the filter diverges.
ISBN:9780780397323
0780397320
DOI:10.1109/ISPACS.2006.364773