Open Access

Deterministic Blind Subspace MIMO Equalization

EURASIP Journal on Advances in Signal Processing20022002:269105

DOI: 10.1155/S1110865702000793

Received: 25 October 2001

Published: 30 May 2002

Abstract

A subspace based approach for the blind multiple signal separation and recovery for MIMO systems is proposed in this paper. Instead of using the statistics of the received signal, the proposed algorithm exploits the received signal structure and the finite alphabet property of the desired signals. The finite alphabet property is used to remove the unknown unitary matrix that is associated with most of the statistics-based MIMO system identification algorithms. The proposed algorithm also incorporates an error-correcting procedure; therefore, it has more accuracy than the existing algorithms. Computer simulation results demonstrate that the algorithm can detect the signals and estimate channel parameters accurately with very few symbols, even under high noise and bad channel conditions.

Keywords

blind signal processing subspace algorithm MIMO system equalization

Authors’ Affiliations

(1)
Electrical and Computer Engineering Department and Institute for Systems Research, University of Maryland
(2)
School of Electrical and Computer Engineering, Georgia Institute of Technology

Copyright

© Sampath et al. 2002