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

• Main Authors: Huang Yufei, Zhang Jianqiu (Michelle), Luna Isabel Tienda, Djurić Petar M., Padillo Diego Pablo Ruiz
• Format: Article
• Language: English
• Published: SpringerOpen 2005-01-01
• Series: EURASIP Journal on Wireless Communications and Networking
• Subjects: multiuser detection; time-observation state-space model; fading channel estimation; particle filtering; mixture Kalman filter
• Online Access: http://dx.doi.org/10.1155/WCN.2005.130
• ISSN: 1687-1472; 1687-1499

<p>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 <math alttext="$M$"><mi>M</mi> </math> -algorithm (SMA), which, although having lower complexity than the generic PF implementation, maintains comparable performance.</p>