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Open Access

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

  • Yufei Huang1Email author,
  • Jianqiu (Michelle) Zhang2,
  • Isabel Tienda Luna3,
  • Petar M Djurić4 and
  • Diego Pablo Ruiz Padillo3
EURASIP Journal on Wireless Communications and Networking20052005:960165

Received: 30 April 2004

Published: 28 April 2005


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 detectiontime-observation state-space modelfading channel estimationparticle filteringmixture Kalman filter

Authors’ Affiliations

Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, USA
Department of Electrical and Computer Engineering, University of New Hampshire, Durham, USA
Departamento de Física Aplicada, Universidad de Granada, Granada, Spain
Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, 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.