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Blind equalization using matrix momentum and natural gradient adaptation

Morison, G.H. and Durrani, T.S. (2003) Blind equalization using matrix momentum and natural gradient adaptation. In: 2003 IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03, 2003-09-17 - 2003-09-19, Toulouse.

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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.

Item type: Conference or Workshop Item (Paper)
ID code: 38840
Keywords: blind equalizers , source separation , sensor arrays , noise robustness , MIMO, frequency, filtering, equations, delay, blind source separation, blind equalization, matrix momentum, natural gradient adaptation, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
Depositing user: Pure Administrator
Date Deposited: 30 Mar 2012 14:33
Last modified: 17 Jul 2013 15:13
URI: http://strathprints.strath.ac.uk/id/eprint/38840

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