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  • 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

https://doi.org/10.1155/WCN.2005.130

  • Received: 30 April 2004
  • Published:

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

Keywords

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

Authors’ Affiliations

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

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