Adaptive blind multiuser detection over flat fast fading channels using particle filtering

被引：2

作者：

Huang Y. ^{[1
]}

Zhang J. ^{[2
]}

Luna I.T. ^{[3
]}

Djurić P.M. ^{[4
]}

Padillo D.P.R. ^{[3
]}

机构：

[1] Department of Electrical Engineering, University of Texas at San Antonio, San Antonio

[2] Department of Electrical and Computer Engineering, University of New Hampshire, Durham

[3] Departamento de Física Aplicada, Universidad de Granada

[4] Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook

来源：

EURASIP Journal on Wireless Communications and Networking | / 2005卷 / 2期

基金：

美国国家科学基金会;

关键词：

Fading channel estimation; Mixture Kalman filter; Multiuser detection; Particle filtering; Time-observation state-space model;

D O I：

10.1155/WCN.2005.130

中图分类号：

学科分类号：

摘要：

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. © 2005 Hindawi Publishing Corporation.

引用

页码：130 / 140

页数：10

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