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《China Communications》 2018-11
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A Novel Training Sequence Applied to DCS-Based Channel Estimation

Weizhang Xu;Xinle Yu;Yanfei Li;Lu Si;Zhanxin Yang;Engineering Research Center of Digital Audio&Video Ministry of Education, Communication University of China;Communication Engineering Department, School of Information, Communication University of China;  
Studies have indicated that the distributed compressed sensing based(DCSbased) channel estimation can decrease the length of the reference signals effectively. In block transmission, a unique word(UW) can be used as a cyclic prefix and reference signal. However, the DCS-based channel estimation requires diversity sequences instead of UW. In this paper, we proposed a novel method that employs a training sequence(TS) whose duration time is slightly longer than the maximum delay spread time. Based on proposed TS, the DCS approach perform perfectly in multipath channel estimation. Meanwhile, a cyclic prefix construct could be formed, which reduces the complexity of the frequency domain equalization(FDE) directly. Simulation results demonstrate that, by using the method of simultaneous orthogonal matching pursuit(SOMP), the required channel overhead has been reduced thanks to the proposed TS.
【Fund】: support by National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2015BAK05B01)
【CateGory Index】: TN92
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