Maximum likelihood method for blind identification of multiple autoregressive channels

Author

Fang, Zheng ; Hua, Yingbo

Author_Institution

Dept. of Electr. Eng., California Univ., Riverside, CA, USA

Volume

4

fYear

2003

fDate

6-10 April 2003

Abstract

We present a two-step maximum likelihood (TSML) algorithm for blind identification of single-input-multiple-output (SIMO) channels modeled as an autoregressive (AR) system. The AR-TSML algorithm provides a new and useful alternative to a previously developed TSML algorithm for a moving-average (MA) system. The AR-TSML algorithm is shown to be more robust than the MA-TSML algorithm if the channel impulse responses have long tails.

Keywords

array signal processing; autoregressive processes; channel estimation; maximum likelihood estimation; moving average processes; transient response; array signal processing; blind identification; channel impulse response; moving-average channels; multiple autoregressive channels; single-input-multiple-output channels; spatial diversity; two-step maximum likelihood algorithm; Channel capacity; Distortion; Microphone arrays; Minimization methods; Oral communication; Probability distribution; Robustness; Sensor systems; Signal to noise ratio; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202643

Filename

1202643