DocumentCode :
302931
Title :
Maximum-likelihood blind equalization of multiple FIR channels
Author :
Carvalho, Elisabeth De ; Slock, Dirk T M
Author_Institution :
Inst. EURECOM, Sophia Antipolis, France
Volume :
5
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
2451
Abstract :
We pursue our iterative quadratic maximum likelihood (IQML) approach to blind estimation of multiple FIR channels. We use a parameterization of the noise subspace in terms of linear prediction quantities. This parameterization is robust w.r.t. a channel length mismatch. Specifically, when the channel length is overestimated, no problems occur. Underestimation leads to a reduced-order channel estimate. We introduce two matched filter bounds (MFBs) to characterize the performance of receivers using reduced-order channel models. The first one (MFB1) uses the channel model to perform the spatio-temporal matched filtering that yields data reduction from multichannel to single-channel form. The rest of the processing remains optimal. MFB2 on the other hand bounds the performance of the Viterbi algorithm with the reduced channel model. It is shown that the reduced model provided by IQML is the one that maximizes MFB1. We also propose some low complexity techniques for obtaining consistent estimates with which to initialize IQML
Keywords :
FIR filters; equalisers; filtering theory; iterative methods; matched filters; maximum likelihood estimation; prediction theory; telecommunication channels; IQML; Viterbi algorithm; blind estimation; channel length mismatch; complexity techniques; data reduction; iterative quadratic maximum likelihood approach; linear prediction; matched filter bounds; maximum likelihood blind equalization; multiple FIR channels; noise subspace; optimal processing; receiver performance; reduced order channel estimate; reduced order channel models; spatiotemporal matched filtering; Blind equalizers; Filtering; Finite impulse response filter; Iterative methods; Matched filters; Matrices; Maximum likelihood estimation; Noise robustness; Transfer functions; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.547959
Filename :
547959
Link To Document :
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