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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1453-1457
Zhi Ding , Dept. of Electr. Eng., Auburn Univ., AL, USA
R.A. Kennedy , Dept. of Electr. Eng., Auburn Univ., AL, USA
ABSTRACT
We study the problem of identifying and equalizing single input-multiple output (SIMO) linear systems that are common in digital communication systems. We present an adaptive algorithm for the identification of SIMO linear systems. We also present an algorithm for the equalization of a SIMO linear system. Both algorithms are based on a mild length and zero condition and can be implemented recursively. Simulation results are presented to demonstrate the performance of these two algorithms.<>
INDEX TERMS
digital communication, linear systems, identification, telecommunication channels, algebra, adaptive equalisers, adaptive signal processing, training, recursive estimation
CITATION

Zhi Ding and R. Kennedy, "Algebraic self-training algorithms for multi-channel system identification and equalization," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1453-1457.
doi:10.1109/ACSSC.1994.471698
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