Skip to content


  • Research Article
  • Open Access

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

  • 1Email author,
  • 2,
  • 3,
  • 4 and
  • 3
EURASIP Journal on Wireless Communications and Networking20052005:960165

  • Received: 30 April 2004
  • Published:


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 -algorithm (SMA), which, although having lower complexity than the generic PF implementation, maintains comparable performance.


  • multiuser detection
  • time-observation state-space model
  • fading channel estimation
  • particle filtering
  • mixture Kalman filter

Authors’ Affiliations

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


© Huang et al. 2005

This article is published under license to BioMed Central Ltd. 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.