An algebraic self-training algorithm for multi-channel system identification

Author

Ding, Zhi ; Kennedy, Rodney A.

Author_Institution

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

Volume

4

fYear

1994

Firstpage

3612

Abstract

In this paper we study the problem of identifying single input-multiple output (SIMO) linear systems that are common in digital communication and control systems. We present an adaptive algorithm for the identification of SIMO linear system. The algorithm is based on a mild co-prime condition and can be implemented as a recursive least square algorithm that has shown quick convergence in simulations. This system identification method can find important applications in digital communications, wideband antenna array processing, and noise control systems

Keywords

adaptive control; convergence of numerical methods; digital communication; identification; least squares approximations; self-adjusting systems; SIMO linear system; algebraic self-training algorithm; convergence; digital communication; mild co-prime condition; multi-channel system identification; noise control systems; recursive least square algorithm; wideband antenna array; Adaptive algorithm; Broadband antennas; Communication system control; Control systems; Convergence; Digital communication; Digital control; Least squares methods; Linear systems; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on

Conference_Location

Lake Buena Vista, FL

Print_ISBN

0-7803-1968-0

Type

conf

DOI

10.1109/CDC.1994.411712

Filename

411712