Algebraic self-training algorithms for multi-channel system identification and equalization

Author

Ding, Zhi ; Kennedy, Rodney A.

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

Volume

2

fYear

1994

fDate

31 Oct-2 Nov 1994

Firstpage

1453

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

Keywords

adaptive equalisers; adaptive signal processing; algebra; digital communication; identification; linear systems; recursive estimation; telecommunication channels; training; SIMO linear systems; adaptive algorithm; algebraic self-training algorithms; digital communication systems; mild length; multi-channel system equalization; multi-channel system identification; performance; recursive algorithm; simulation results; single input-multiple output linear systems; zero condition; Broadband antennas; Digital communication; Finite impulse response filter; Linear antenna arrays; Linear systems; Quadrature amplitude modulation; Signal processing; Signal processing algorithms; System identification; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-6405-3

Type

conf

DOI

10.1109/ACSSC.1994.471698

Filename

471698