Title :
Fast converging methods for multichannel blind equalization or separation of multipath mixtures
Author :
Lambert, Russell H. ; Nikias, Chrysostomos L.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Algorithms for adapting FIR filters can also be applied to adaptation of FIR separation matrices (with multipath) for source separation. Fast converging algorithms robust to eigenvalue disparity are of interest, such as the exact least squares methods from the area of adaptive filters. Time domain adaptive multichannel blind recursive least squares (MBRLS) is presented. Three frequency domain algorithms based on the Bussgang property are given, two of which exhibit improved performance compared to the traditional Bussgang blind algorithms. The serial update method is studied as a fast blind update
Keywords :
FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; deconvolution; eigenvalues and eigenfunctions; filtering theory; frequency-domain analysis; least squares approximations; matrix algebra; multipath channels; recursive estimation; time-domain analysis; Bussgang property; FIR filter adaptation; FIR separation matrices; adaptive filters; blind deconvolution; eigenvalue disparity robustness; exact least squares methods; fast blind update; fast converging algorithms; fast converging methods; frequency domain algorithms; multichannel blind equalization; multichannel blind recursive least squares; multichannel blind separation; multipath mixtures; serial update method; source separation; time domain adaptive RLS; Adaptive filters; Blind equalizers; Cost function; Eigenvalues and eigenfunctions; Finite impulse response filter; Frequency; Least squares methods; Linear systems; Robustness; Source separation;
Conference_Titel :
Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE
Conference_Location :
McLean, VA
Print_ISBN :
0-7803-3682-8
DOI :
10.1109/MILCOM.1996.571403
