Carrier Frequency Offset Estimation for MIMO over Spatially Correlated Flat-fading Channels  

作　　者：DENG Kai TANG Youxi SHAO Shihai LEI Xia LI Shaoqian 

机构地区：[1]National Key Laboratory of Communications, University of Electronic Science and Technology of China, Chengdu 610054, China

出　　处：《Chinese Journal of Electronics》2008年第1期150-154,共5页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60572090, No.60496313, No.60472045 and No.60602009）.

摘　　要：This paper deals with Carrier frequency offset （CFO） estimation for Multiple-input multiple-output （MIMO） systems. A Rayleigh fiat-fading channel model is considered and spatial correlation among channels corresponding to different pairs of transmit and receive antennas is taken into account. A Data-aided （DA） Maximum likelihood （ML）CFO estimator based on the marginal likeli- hood function is proposed. It can exploit spatial diversity and make use of the knowledge of spatial correlation by averaging the conditional likelihood function over all realizations of the channel. The Cramer-Rao bound （CRB） for the problem is derived as a benchmark. Simulation results are given to illustrate the performance of the pro- posed estimator. It is shown that its performance is close to the CRB at high Signal-to-noise ratio （SNR） region and improved with decrease of the spatial correlation and in- crease of the number of receive antennas.

关 键 词：Carrier frequency offset estimation Cramer-Rao bound （CRB） Maximum likelihood Multiple-input multiple-output （MIMO） Spatially correlated fading. 

分 类 号：TN92[电子电信—通信与信息系统]