EURASIP Journal on Applied Signal Processing 
Volume 2002 (2002), Issue 12, Pages 1437-1447
doi:10.1155/S1110865702209014

A suboptimal Iterative Method for Maximum-Likelihood Sequence Estimation in a Multipath Context

Olivier Rousseaux, Geert Leus, and Marc Moonen

Katholieke Universiteit Leuven, ESAT-SISTA, Kasteelpark Arenberg 10, Heverlee B-3001, Belgium

Received 12 February 2002; Revised 20 June 2002

Abstract

We present an iterative semiblind suboptimal maximum-likelihood sequence estimation (MLSE) method for single-carrier block transmission over stationary multipath channels. This suboptimal ML detector is based on an iterative least squares with projection (ILSP) algorithm exploiting both the finite alphabet properties of the transmitted signal and its cyclic prefixed structure in order to approach ML detection in a cheap way. Since the initial channel estimate is crucial for the convergence speed of the ILSP algorithm, we propose a new low-complexity stochastic method for providing an initial channel estimate. We therefore rely on some known symbols that are provided by a variant of cyclic prefix only (CP-Only) transmission, known as the known symbol padding only (KSP-Only) technique. The resulting channel model is sufficiently accurate to be used as a starting point for the iterations. The final result is a direct symbol estimation method that is characterised by its low computational complexity and its promising results in terms of bit error rate (BER).