Particle filter for joint frequency offset and channel estimation in MIMO-OFDM systems  

作　　者：张静 罗汉文 金荣洪 

机构地区：[1]Department of Electronic Engineering, Shanghai Jiao Tong University [2]Department of Communication Engineering, Shanghai Normal University

出　　处：《Journal of Shanghai University(English Edition)》2009年第6期438-443,共6页上海大学学报（英文版）

基　　金：Project supported by the National Natural Science Foundation of China (Grant No.60572157);the International Cooper-ation Foundation (Grant No.2008DFA11950)

摘　　要：A particle filter is proposed to perform joint estimation of the carrier frequency offset （CFO） and the channel in multiple-input multiple-output orthogonal frequency division multiplexing （MIMO-OFDM） wireless communication systems. It marginalizes out the channel parameters from the sampling space in sequential importance sampling （SIS）, and propagates them with the Kalman filter. Then the importance weights of the CFO particles are evaluated according to the imaginary part of the error between measurement and estimation. The varieties of particles are maintained by sequential importance resampling （SIR）. Simulation results demonstrate this algorithm can estimate the CFO and the channel parameters with high accuracy. At the same time, some robustness is kept when the channel model has small variations.A particle filter is proposed to perform joint estimation of the carrier frequency offset （CFO） and the channel in multiple-input multiple-output orthogonal frequency division multiplexing （MIMO-OFDM） wireless communication systems. It marginalizes out the channel parameters from the sampling space in sequential importance sampling （SIS）, and propagates them with the Kalman filter. Then the importance weights of the CFO particles are evaluated according to the imaginary part of the error between measurement and estimation. The varieties of particles are maintained by sequential importance resampling （SIR）. Simulation results demonstrate this algorithm can estimate the CFO and the channel parameters with high accuracy. At the same time, some robustness is kept when the channel model has small variations.

关 键 词：multiple-input multiple-output （MIMO） orthogonal frequency division multiplexing （OFDM） frequency offset channel estimation sequential Monte Carlo particle filter 

分 类 号：TN919.3[电子电信—通信与信息系统]