PERFORMANCE ANALYSIS OF IPNLMS FOR IDENTIFICATION OF TIME-VARYING SYSTEMS

被引：9
|
作者：
Loganathan, Pradeep [1 ]
Habets, Emanuel A. P. [1 ]
Naylor, Patrick A. [1 ]
机构：
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
Sparse and dispersive impulse responses; Adaptive algorithms; Convergence analysis; Time-varying system identification; IPNLMS algorithm;
D O I：
10.1109/ICASSP.2010.5495893
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The tracking performance of adaptive filters is crucially important in practical applications involving time-varying systems. We present an analysis of the tracking performance for IPNLMS, one of the best known and best performing algorithms originally targeted at sparse system identification. We then validate our analytic results in practical simulations for echo cancellation for sparse and dispersive time-varying unknown echo path systems. These results show the analysis to be highly accurate in all the cases studied.
引用
收藏
页码：317 / 320
页数：4
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