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机构地区:[1]Mathematics and Science College,Shanghai Normal University
出 处:《Journal of Donghua University(English Edition)》2008年第3期263-268,共6页东华大学学报(英文版)
基 金:Shanghai Municipal Education Commission,China(No.CL200516;No.RE559)
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 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.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.
关 键 词:code-division multiple-access ( CDMA) spread spectrum multiuser detection interference suppression channel estimation sequential Monte Carlo particle filter
分 类 号:TN914[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]
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