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

Authors:
Yufei Huang;Jianqiu Zhang;Isabel Tienda Luna;Petar M. Djurić;Diego Pablo Ruiz Padillo
Affiliations:
Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, TX;Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH;Departamento de Física Aplicada, Universidad de Granada, Granada 18071, Spain;Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY;Departamento de Física Aplicada, Universidad de Granada, Granada 18071, Spain
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Year:
2005

Citing 13
Cited 2

Adaptive filter theory (3rd ed.)

Adaptive filter theory (3rd ed.)
Multiuser Detection

Multiuser Detection
Statistical Digital Signal Processing and Modeling

Statistical Digital Signal Processing and Modeling
Joint estimation and decoding of space-time Trellis codes

EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
A blind particle filtering detector of signals transmitted over flat fading channels

IEEE Transactions on Signal Processing
Bayesian detection for BLAST

IEEE Transactions on Signal Processing
Blind multiuser detection: a subspace approach

IEEE Transactions on Information Theory
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering

IEEE Transactions on Information Theory
The Kalman filter as the optimal linear minimum mean-squared error multiuser CDMA detector

IEEE Transactions on Information Theory
Noncoherent multiuser detection for nonlinear modulation over the Rayleigh-fading channel

IEEE Transactions on Information Theory
Blind adaptive multiuser detection

IEEE Transactions on Information Theory
An asynchronous multiuser CDMA detector based on the Kalman filter

IEEE Journal on Selected Areas in Communications
Genetic algorithm assisted joint multiuser symbol detection and fading channel estimation for synchronous CDMA systems

IEEE Journal on Selected Areas in Communications

A particle filter for frequency synchronization in MIMO-OFDM systems

WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Iterative decoding in Factor Graph representation using Particle Filtering

Digital Signal Processing

Quantified Score

Hi-index	0.00

Visualization

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