Particle Filter with Hybrid Importance Function for Joint Symbol Detection and Phase Tracking

Cannes(2006)

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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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