Open AccessGeneralized Robust Multichannel Frequency‐Domain LMS Algorithms for Blind Channel Identification
Author(s) -
Chung Ikjoo,
Clements Mark A.
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0211.0118
Subject(s) - algorithm , frequency domain , flatness (cosmology) , computer science , noise (video) , least mean squares filter , active noise control , channel (broadcasting) , adaptive filter , identification (biology) , adaptive algorithm , artificial intelligence , telecommunications , physics , botany , cosmology , quantum mechanics , image (mathematics) , computer vision , biology
Recently, several noise‐robust adaptive multichannel LMS algorithms have been proposed based on the spectral flatness of the estimated channel coefficients in the presence of additive noise. In this work, we propose a general form for the algorithms that integrates the existing algorithms into a common framework. Computer simulation results are presented and demonstrate that a new proposed algorithm gives better performance compared to existing algorithms in noisy environments.