Performance analysis of IPNLMS for identification of time-varying systems

Author

Loganathan, Pradeep ; Habets, Emanuël A P ; Naylor, Patrick A.

Author_Institution

Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK

fYear

2010

fDate

14-19 March 2010

Firstpage

317

Lastpage

320

Abstract

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.

Keywords

acoustic signal processing; adaptive filters; echo; echo suppression; time-varying systems; IPNLMS algorithm; adaptive filter; echo; performance analysis; sparse system identification; time varying system identification; tracking performance; Adaptive filters; Algorithm design and analysis; Dispersion; Loudspeakers; Microphones; Performance analysis; Predictive models; System identification; Target tracking; Time varying systems; Adaptive algorithms; Convergence analysis; IPNLMS algorithm; Sparse and dispersive impulse responses; Time-varying system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5495893

Filename

5495893