Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking
Cannes(2006)
摘要
In digital communication, phase distortions introduced by local oscillators is one of the major concerns in designing low-cost high frequency wireless communication systems. Hence, for phase tracking and symbol detection, we propose an original algorithm which performs both phase tracking and symbol detection by a particle filtering based on the hybrid importance function. Per- formances of this algorithm are analyzed and compared to phase- locked loop performances in terms of bit error rate and mean square error. Asymptotic posterior Cram´ er-Rao bound is also derived to show performances of the optimum receiver.
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关键词
digital radio,error statistics,mean square error methods,particle filtering (numerical methods),tracking,asymptotic posterior Cramer-Rao bound,bit error rate,digital communication,hybrid importance function,local oscillators,mean square error,particle filter,phase distortions,phase tracking,phase-locked loop,symbol detection,wireless communication systems,Asymptotic posterior Cramér-Rao bound,Decision feedback loop,Hybrid importance function,Particle filter,Phase tracking
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