Title :
A Particle Filter for Frequency Synchronization in MIMO-OFDM Systems
Author :
Zhang Jing ; Luo Han-wen ; Jin Rong-hong
Author_Institution :
Dept. Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A particle filter algorithm is investigated to perform joint estimation of carrier frequency offset (CFO) and channel in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless communication systems. The filter marginalizes out the channel parameters from the sampling space in sequential importance sampling, and propagates them with the Kalman filter. Then the importance weights of CFO particles are evaluated according to the imaginary part of error between measurement and estimate. Moreover, the varieties of particles are maintained by sequential importance resampling. Simulations demonstrate the algorithm can estimate the CFO and channel with high accuracy, as well as has some robustness to the channel model variation.
Keywords :
Kalman filters; MIMO communication; Monte Carlo methods; OFDM modulation; channel estimation; frequency estimation; particle filtering (numerical methods); synchronisation; Kalman filter; MIMO-OFDM systems; carrier frequency offset estimation; channel estimation; channel model variation; channel parameters; frequency synchronization; multiple-input multiple-output system; orthogonal frequency division multiplexing system; particle filter algorithm; sequential Monte Carlo; sequential importance sampling; wireless communication system; Frequency estimation; Frequency synchronization; MIMO; Monte Carlo methods; OFDM; Particle filters; Particle measurements; Robustness; Sampling methods; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302829
