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

DOI: 10.1155/WCN.2005.130

Received: 30 April 2004

Published: 28 April 2005

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 https://static-content.springer.com/image/art%3A10.1155%2FWCN.2005.130/MediaObjects/13638_2004_Article_1202_IEq1_HTML.gif -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
(2)
Department of Electrical and Computer Engineering, University of New Hampshire
(3)
Departamento de Física Aplicada, Universidad de Granada
(4)
Department of Electrical and Computer Engineering, Stony Brook University

Copyright

© 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.

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