Bayesian integer frequency offset estimator for MIMO-OFDM systems  

作　　者：Zhao Linjing Lu Zhuo Li Jiandong 

机构地区：[1]Broadband Wireless Communications Lab, Information Science Inst., State Key Lab of ISN, Xidian Univ., Xi'an 710071, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2008年第6期1109-1114,共6页系统工程与电子技术（英文版）

基　　金：supported by the National Science Fund for Distinguished Young Scholars (60725105);National"863"Program of China (2007AA01Z288);the sixth project of the Key Project of National Nature Science Foundation of China (60496316);Teaching Research Award Program for Outstanding Young Teachers in Higher Education Institutions of MOE,the 111 Project (B08038).

摘　　要：Carrier frequency offset （CFO） in MIMO-OFDM systems can be decoupled into two parts： fraction frequency offset （FFO） and integer frequency offset （IFO）. The problem of IFO estimation is addressed and a new IFO estimator based on the Bayesian philosophy is proposed. Also, it is shown that the Bayesian IFO estimator is optimal among all the IFO estimators. Furthermore, the Bayesian estimator can take advantage of oversampling so that better performance can be obtained. Finally, numerical results show the optimality of the Bayesian estimator and validate the theoretical analysis.Carrier frequency offset （CFO） in MIMO-OFDM systems can be decoupled into two parts： fraction frequency offset （FFO） and integer frequency offset （IFO）. The problem of IFO estimation is addressed and a new IFO estimator based on the Bayesian philosophy is proposed. Also, it is shown that the Bayesian IFO estimator is optimal among all the IFO estimators. Furthermore, the Bayesian estimator can take advantage of oversampling so that better performance can be obtained. Finally, numerical results show the optimality of the Bayesian estimator and validate the theoretical analysis.

关 键 词：multiple-input-multiple-oputput orthogonal frequency-division multiplexing integer frequency offset ESTIMATION 

分 类 号：TN91[电子电信—通信与信息系统]