摘要
The particle filter(PF)is proposed to be the asynchronous direct-sequence code-division multiple-access(DS/CDMA)multiuser detector without knowing the channel state information.The PF performs symbol detection according to the joint posterior density probability of simulated particles including relative delays,fading gains and symbols via sequential importance sample and resample.A simplified scheme is also proposed by separating the independent relative delays and fading with symbols.These parameters are modeled as the extended aggressive processes and estimated by the Kalman filter,so as to provide their arbitrary importance distribution for symbol detection.Simulation results show that the bit error rate of the PF is less than conventional detectors.Moreover,the complexity of PF is moderate comparable to other nonlinear suboptimal approaches.
The particle filter (PF) is proposed to be the asynchronous direct-sequence code-division multiple-access (DS/CDMA) multiuser detector without knowing the channel state information. The PF performs symbol detection according to the joint posterior density probability of simulated particles including relative delays, fading gains and symbols via sequential importance sample and resample. A simplified scheme is also proposed by separating the indepent relative delays and fading with symbols. These parameters are modeled as the extended aggressive processes and estimated by the Kalman filter, so as to provide their arbitrary distribution for symbol detection. Simulation results show that the bit error rate of the PF is less than conventional detectors. Moreover, the complexity of PF is moderate comparable to other nonlinear suboptimal approaches.
基金
Shanghai Municipal Education Commission,China(No.CL200516
No.RE559)
关键词
通信系统
人工神经网络
光谱
多用户探测
code-division multiple-access ( CDMA)
spread spectrum
multiuser detection
interference suppression channel estimation
sequential Monte Carlo
particle filter