基于粒子滤波算法的DS-CDMA多用户检测
首发时间:2007-04-19
摘要:粒子滤波算法是近年来提出的一种较新的算法。该算法应用于DS-CDMA系统的多用户检测中,检测器能在检测性能和计算复杂度之间取得很好的平衡。基于粒子滤波算法的多用户检测器在性能上逼近于最优多用户检测器,而计算复杂度远低于最优多用户检测器,与次优多用户检测器相当。本文利用白化匹配滤波器(WPF)的输出描述同步DS-CDMA系统的状态空间模型,阐述了粒子滤波算法在多用户检测中的实现过程,并通过仿真实例证明了基于粒子滤波算法的多用户检测器的性能优势,最后展望该课题的发展方向。
关键词: 粒子滤波 多用户检测 贝叶斯估计 序贯蒙特卡罗方法
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DS-CDMA MULTIUSER DETECTION BASED ON PARTICLE FILTER
Abstract:Particle filter is a new technology put forward in recent years. Applying particle filter to multiuser detection (MUD) can find a balance between the performance of the detector and its computational complexity. The performance of CDMA multiuser detectors with particle filter is close to that of optimum detectors, but with lower computational complexity, which is equal to that of some suboptimum detectors. In this paper, WPF outputs are utilized for the system representation, and then it is shown how particle filter is used for multiuser detection. As a result, a near optimum performance is observed in simulations. Further studies are mentioned in the conclusion part.
Keywords: Particle filter, Multiuser detection, Bayesian estimation, Sequential Monte Carlo method
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