EURASIP Journal on Wireless Communications and Networking
Volume 2005 (2005), Article ID 960165, 11 pages
doi:10.1155/WCN.2005.130

Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering

Yufei Huang,1 Jianqiu (Michelle) Zhang,2 Isabel Tienda Luna,3 Petar M. Djurić,4 and Diego Pablo Ruiz Padillo3

1Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249-06615, USA
2Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH 03824, USA
3Departamento de Física Aplicada, Universidad de Granada, Granada 18071, Spain
4Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794-2350, USA

Received 30 April 2004; Revised 16 September 2004

Copyright © 2005 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose a method for blind multiuser detection (MUD) in synchronous systems over flat and fast Rayleigh fading channels. We adopt an autoregressive-moving-average (ARMA) process to model the temporal correlation of the channels. Based on the ARMA process, we propose a novel time-observation state-space model (TOSSM) that describes the dynamics of the addressed multiuser system. The TOSSM allows an MUD with natural blending of low-complexity particle filtering (PF) and mixture Kalman filtering (for channel estimation). We further propose to use a more efficient PF algorithm known as the stochastic M-algorithm (SMA), which, although having lower complexity than the generic PF implementation, maintains comparable performance.