tailieunhanh - Báo cáo hóa học: " Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering | EURASIP Journal on Wireless Communications and Networking 2005 2 130-140 2005 Hindawi Publishing Corporation Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering Yufei Huang Department of Electrical Engineering The University of Texas at San Antonio San Antonio TX 78249-06615 USA Email yhuang@ Jianqiu Michelle Zhang Department of Electrical and Computer Engineering University of New Hampshire Durham NH 03824 USA Email Isabel Tienda Luna Departamento de Fisica Aplicada Universidad de Granada Granada 18071 Spain Email isabelt@ Petar M. Djuric Department of Electrical and Computer Engineering Stony Brook University Stony Brook NY 11794-2350 USA Email djuric@ Diego Pablo Ruiz Padillo Departamento de Fisica Aplicada Universidad de Granada Granada 18071 Spain Email druiz@ Received 30 April 2004 Revised 16 September 2004 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. Keywords and phrases multiuser detection time-observation state-space model fading channel estimation particle filtering mixture Kalman filter. 1. INTRODUCTION When multiuser detection MUD was introduced in the eighties it has received a great deal of attention due to its ability to reduce multiple access interference MAI and potential for increasing the .

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