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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 MIMO channel equalisation using matrix momentum natural gradient adaptation

Morison, G.H. and Durrani, T.S. (2003) Blind MIMO channel equalisation using matrix momentum natural gradient adaptation. In: IEE Colloquium on DSP enabled Radio, 2003-09-22 - 2003-09-23.

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Abstract

In this paper the problem of single input multiple output (SIMO) and multiple input multiple output (MIMO) channel equalisation in a frequency selective environment is addressed using blind source separation techniques. Using blind techniques removes the requirement for a training sequence giving an increase in the spectral efficiency of the system. Direction of arrival (DOA) information is not required as the statistical independence of the signals is the only requirement for the separation and equalisation of the source signals. The natural gradient algorithm is embedded within the matrix momentum method to improve the convergence of the standard algorithm. The performance of the algorithm is demonstrated for DPSK signals.