DocumentCode
1881684
Title
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
2
fYear
2003
fDate
6-9 July 2003
Abstract
We present a two-step maximum likelihood (TSML) algorithm for blind identification of single-input-multiple-output (SIMO) channels modeled as autoregressive (AR) system. The AR-TSML algorithm provides a new and useful alternative to a previously developed TSML algorithm for 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
autoregressive processes; channel estimation; maximum likelihood estimation; moving average processes; transient response; autoregressive system; blind identification; channel impulse responses; maximum likelihood method; moving-average system; multiple autoregressive channels; single-input-multiple-output channels; Channel capacity; Microphone arrays; Noise cancellation; Oral communication; Probability distribution; Robustness; Sensor arrays; Sensor systems; Signal processing algorithms; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference on
Print_ISBN
0-7803-7965-9
Type
conf
DOI
10.1109/ICME.2003.1221685
Filename
1221685
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