DocumentCode :
3239601
Title :
Blind equalization using matrix momentum and natural gradient adaptation
Author :
Morison, Gordon ; Durrani, Tariq
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fYear :
2003
fDate :
17-19 Sept. 2003
Firstpage :
439
Lastpage :
448
Abstract :
In this paper the problem of single input multiple output (SIMO) and multiple input multiple output (MIMO) blind equalization in a frequency selective environment is addressed using blind source separation techniques. A robust whitening stage is included to reduce the effects of noise enhancement that traditional prewhitening methods suffer, and the use of matrix momentum with the natural gradient algorithm is utilised to improve the computation efficiency of the standard natural gradient algorithm. The performance of the algorithm is demonstrated for an ill conditioned channel and compared with a current natural gradient based blind equalization using source separation method.
Keywords :
MIMO systems; Newton method; blind equalisers; blind source separation; gradient methods; multipath channels; blind equalization; blind source separation; frequency selective environment; ill conditioned channel; matrix momentum; natural gradient adaptation; noise enhancement effects reduction; robust whitening stage; Blind equalizers; Blind source separation; Delay; Equations; Filtering; Frequency; MIMO; Noise robustness; Sensor arrays; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on
ISSN :
1089-3555
Print_ISBN :
0-7803-8177-7
Type :
conf
DOI :
10.1109/NNSP.2003.1318043
Filename :
1318043
Link To Document :
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