Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

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.

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.