E^2KF Based Joint Multiple CFOs and Channel Estimate for MIMO-OFDM Systems over High Mobility Scenarios  

作　　者：QIAO Jing CHEN Qingchun SHEN Feifei 

机构地区：[1]KeyLabofInformationCoding&Transmission,SouthwestJiaotongUniversity,Chengdu,Sichuan610031,China

出　　处：《China Communications》2014年第A01期56-63,共8页中国通信（英文版）

摘　　要：An enhanced extended Kalman filtering （E2KF） algorithm is proposed in this paper to cope with the joint multiple carrier frequency offsets （CFOs） and time-variant channel estimate for MIMO-OFDM systems over high mobility scenarios. It is unveiled that, the auto-regressive （AR） model not only provides an effective method to capture the dynamics of the channel parameters, which enables the prediction capability in the EKF algorithm, but also suggests an method to incorporate multiple successive pilot symbols for the improved measurement update.

关 键 词：CFO channel estimate MIMO-OFDM 

分 类 号：TN929.5[电子电信—通信与信息系统] TN929.533[电子电信—信息与通信工程]