FIR multichannel identification using weighted cumulant matrix

Author

Liang, Jing ; Ding, Zhi

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA

Volume

2

fYear

2000

fDate

Oct. 29 2000-Nov. 1 2000

Firstpage

1573

Abstract

Blind identification of FIR multichannel using higher-order statistics (HOS) is investigated. A new linear approach is proposed which generalizes the weighted slices method for single FIR channel estimation. By finding the proper linear combinations, channel response is obtained from the weighted cumulant matrix with Toeplitz structure. This general algorithm works for both single user and multiuser scenario. It relaxes the identification condition of the original method and demonstrates performance improvement.

Keywords

Toeplitz matrices; higher order statistics; multiuser channels; parameter estimation; transient response; FIR channel estimation; FIR multichannel identification; HOS; MIMO systems; SISO systems; Toeplitz structure; channel response; generalized weighted slices; higher-order statistics; identification condition; linear approach; linear combinations; multiuser channel; performance; single user channel; weighted cumulant matrix; weighted slices method; Closed-form solution; Computational modeling; Finite impulse response filter; Frequency; Gaussian noise; Higher order statistics; MIMO; Signal processing; Transfer functions; Zinc;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-6514-3

Type

conf

DOI

10.1109/ACSSC.2000.911254

Filename

911254