DocumentCode :
3568015
Title :
Recursive algorithms for multichannel blind identification
Author :
Chen, Han-Fu ; Cao, Xi-Ren ; Zhu, Jie
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Volume :
1
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
157
Abstract :
We develop recursive algorithms for multichannel blind identification with both statistic and deterministic models. In these algorithms, the estimates are continuously improved while receiving new signals. Therefore, the algorithms can track channel continuously and thus are amenable to real applications such as wireless communications. The computation at each step involves only a small amount of computation. Key words: Blind equalization, stochastic approximation
Keywords :
blind equalisers; channel allocation; radiocommunication; signal processing; stochastic processes; blind equalization; deterministic models; multichannel blind identification; real applications; recursive algorithms; stochastic approximation; wireless communications; Additive noise; Approximation algorithms; Blind equalizers; Convergence; Distributed computing; Equations; Recursive estimation; Statistics; Stochastic processes; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-5250-5
Type :
conf
DOI :
10.1109/CDC.1999.832767
Filename :
832767
Link To Document :
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