Further results on blind identification and equalization of multiple FIR channels

Author

Slock, Dirk T M ; Padias, C.B.

Author_Institution

Inst. EURECOM, Sophia Antipolis, France

Volume

3

fYear

1995

fDate

9-12 May 1995

Firstpage

1964

Abstract

Slock and Papadias (1994) showed that in the case of multiple antennas and/or oversampling, FIR ZF equalizers exist for FIR channels and can be obtained from the noise-free linear prediction (LP) problem. The LP problem also leads to a minimal parameterization of the noise subspace, which was used to solve the deterministic maximum likelihood (DML) channel estimation problem. The present authors provide further contributions along two lines. One is a number of blind equalization techniques of the adaptive filtering type. They also present some robustifying modifications of the DML problem

Keywords

FIR filters; adaptive equalisers; adaptive estimation; adaptive filters; digital filters; maximum likelihood estimation; prediction theory; signal sampling; telecommunication channels; DML problem; adaptive filtering; blind equalization; blind identification; deterministic maximum likelihood channel estimation problem; minimal parameterization; multiple FIR channels; multiple antennas; noise subspace; noise-free linear prediction; oversampling; robustifying modifications; Adaptive filters; Blind equalizers; Channel estimation; Covariance matrix; Equations; Finite impulse response filter; Log periodic antennas; Maximum likelihood estimation; Noise robustness; Receiving antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480601

Filename

480601