An efficient channel estimator for OFDM system with sparse multipath fading  

作　　者：张晴川 Shu Feng Sun Jintao 

机构地区：[1]Department of Communication Engineering, Nanjing University of Science and Technology, Nanjing 210094, P.R. China [2]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, P.R. China

出　　处：《High Technology Letters》2009年第2期175-180,共6页高技术通讯（英文版）

基　　金：Supported by the Starting Fund for Science Research of NJUST (AB41947);the Open Research Fund of National Mobile Communications Research Laboratory (N200609);Science Research Developing Fund of NJUST (XKF07023)

摘　　要：A channel estimator used in sparse muhipath fading channel for orthogonal frequency division multiplexing （OFDM） system is proposed. The dimension of signal subspace can be reduced to improve the performance of channel estimation. The simplified version of original subspace fitting algorithm is employed to derive the sparse multipaths. In order to overcome the difficulty of termination condition, we consider it as a model identification problem and the set of nonzero paths is found under the generalized Akaike information criterion （GAIC）. The computational complexity can be kept very low under proper training design. Our proposed method is superior to other related schemes due to combining the procedure of selecting the most probable taps with GAIC model selection. Simulation in hilly terrain （HT） channel shows that the proposed method has an outstanding performance.A channel estimator used in sparse multipath fading channel for orthogonal frequency division multi-plexing(OFDM)system is proposed.The dimension of signal subspace can be reduced to improve theperformance of channel estimation.The simplified version of original subspace fitting algorithm is em-ployed to derive the sparse multipaths.In order to overcome the difficulty of termination condition,weconsider it as a model identification problem and the set of nonzero paths is found under the generalizedAkaike information criterion(GAIC).The computational complexity can be kept very low under propertraining design.Our proposed method is superior to other related schemes due to combining the procedureof selecting the most probable taps with GAIC model selection.Simulation in hilly terrain(HT)channelshows that the proposed method has an outstanding performance.

关 键 词：channel estimation sparse muhipath fading OFDM GAIC 

分 类 号：TN919.3[电子电信—通信与信息系统]