Optimization on semi-blind channel estimation for MIMO-OFDM systems  

作　　者：Sangirov Gulomjon Fu Yongqing Sangirov Jamshid 

机构地区：[1]College of Information and Communication Engineering, Harbin Engineering University [2]Electrical Engineering Department, Korea Advanced Institute of Science and Technology

出　　处：《The Journal of China Universities of Posts and Telecommunications》2015年第6期86-93,共8页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (61172038)

摘　　要：An orthogonal frequency division multiplexing （OFDM） is one of the effective techniques used in wireless communication. In OFDM systems, channel impairments due to multipath dispersive spreading can cause deep fades in wireless channels. Thus, the OFDM receiver requires channel state information when coherent detection is involved. Therefore, to overcome the impact of channel fades good channel estimation （CE） methods are needed in OFDM systems. And one of these CE methods is a semi-blind CE. However, the semi-blind method requires a large number of processing operations. In order to avoid the high computing complexity of the existing method, scaled least square （SLS） technique is applied to improve the performance of the semi-blind channel estimator which require less knowledge of the channel second-order statistics and have better performance than the least square （LS） which used in semi-blind CE. Simulation results shows, this proposed method of semi-blind CE has the capacity of elevating CE performance in multiple-input multiple-output （MIMO） OFDM systems.An orthogonal frequency division multiplexing （OFDM） is one of the effective techniques used in wireless communication. In OFDM systems, channel impairments due to multipath dispersive spreading can cause deep fades in wireless channels. Thus, the OFDM receiver requires channel state information when coherent detection is involved. Therefore, to overcome the impact of channel fades good channel estimation （CE） methods are needed in OFDM systems. And one of these CE methods is a semi-blind CE. However, the semi-blind method requires a large number of processing operations. In order to avoid the high computing complexity of the existing method, scaled least square （SLS） technique is applied to improve the performance of the semi-blind channel estimator which require less knowledge of the channel second-order statistics and have better performance than the least square （LS） which used in semi-blind CE. Simulation results shows, this proposed method of semi-blind CE has the capacity of elevating CE performance in multiple-input multiple-output （MIMO） OFDM systems.

关 键 词：semi-blind channel estimation OFDM least square scaled least square MIMO 

分 类 号：TN919.3[电子电信—通信与信息系统]