Title :
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
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;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495893
