Open Access

Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems

EURASIP Journal on Advances in Signal Processing20022002:758696

DOI: 10.1155/S1110865702000847

Received: 30 May 2001

Published: 30 May 2002

Abstract

Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems. In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication systems in fading wireless channels. Space-time codes are obtained by combining channel coding, modulation, transmit diversity, and optional receive diversity in order to provide diversity at the receiver and coding gain without sacrificing the bandwidth. In this paper, we consider the problem of blind estimation of space-time coded signals along with the channel parameters. Both conditional and unconditional maximum likelihood approaches are developed and iterative solutions are proposed. The conditional maximum likelihood algorithm is based on iterative least squares with projection whereas the unconditional maximum likelihood approach is developed by means of finite state Markov process modelling. The performance analysis issues of the proposed methods are studied. Finally, some simulation results are presented.

Keywords

blind channel estimation conditional and unconditional maximum likelihood

Authors’ Affiliations

(1)
Department of Electrical Engineering, Istanbul University
(2)
Department of Electronic Engineering, IŞIK University

Copyright

© Çırpan et al. 2002