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机构地区:[1]Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics
出 处:《Journal of Systems Engineering and Electronics》2014年第5期721-727,共7页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(61371169;61301108;61071164);the Fundamental Research Funds for the Central Universities(NS2013024)
摘 要:The problem of channel estimation for multiple an- tenna orthogonal frequency division multiplexing (OFDM) systems subject to unknown carrier frequency offset (CFO) is addressed. Multiple signal classification (MUSIC)-Iike algorithm, which generally has been used for direction estimation or frequency estimation, is used for channel estimation in multiple antenna OFDM systems. A reduced dimensional (RD)-MUSIC based algorithm for channel estimation is proposed in multiple antenna OFDM systems with unknown CFO. The Cramer-Rao bound (CRB) of channel estimation in multiple antenna OFDM systems with unknown CFO is derived. The proposed algorithm has a superior performance of channel estimation compared with the Capon method and the least squares method.The problem of channel estimation for multiple an- tenna orthogonal frequency division multiplexing (OFDM) systems subject to unknown carrier frequency offset (CFO) is addressed. Multiple signal classification (MUSIC)-Iike algorithm, which generally has been used for direction estimation or frequency estimation, is used for channel estimation in multiple antenna OFDM systems. A reduced dimensional (RD)-MUSIC based algorithm for channel estimation is proposed in multiple antenna OFDM systems with unknown CFO. The Cramer-Rao bound (CRB) of channel estimation in multiple antenna OFDM systems with unknown CFO is derived. The proposed algorithm has a superior performance of channel estimation compared with the Capon method and the least squares method.
关 键 词:channel estimation orthogonal frequency division multiplexing (OFDM) multiple antennas multiple signal classification (MUSIC).
分 类 号:TN929.53[电子电信—通信与信息系统]
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