Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480601