文献类型：会议论文

英文题名：A Novel Time-varying Sparse Channel Estimation Based on Block-type Pilot and SAMP

作者：Xu, Rui[1];Yuan, Weina[1];Wang, Jianling[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China

会议论文集：4th International Conference on Information Science and Control Engineering (ICISCE)

会议日期：JUL 21-23, 2017

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：SAMP; block-type pilot; sparse channel estimation; BEM

摘要：Using OMP algorithm for time-delay detecting and apply BEM based on comb-type pilot for channel estimation is the most commonly used method for sparse time-frequency doubly-selective channels, but the channel estimation performance will decrease sharply when the number of channel paths is large, and this method need to obtain the channel sparsity as prior information in advance. In this paper, a novel sparse channel estimation method based on block-type pilot and SAMP has been proposed, whereby using SAMP for time-delay detecting, using the BEM coefficients of pilot symbols and interpolation algorithm to obtain the BEM coefficients of the data symbols. The simulation verifies the proposed algorithm can achieve a good performance in the case of the channel paths is large and the channel sparsity is unknown.