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The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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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.

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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.