Performance analysis of IPNLMS for identification of time-varying systems

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 timevarying unknown echo path systems. These results show the analysis to be highly accurate in all the cases studied.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Pradeep Loganathan, Emanuel A. P. Habets, Patrick A. Naylor
• Keywords: Echo Path Systems, ICASSP 2010, Signal Processing, Time-varying Systems, Tracking Performance