标题:UWB channel estimation based on compressed sensing using dual-kernel dictionaries
作者:Dong, Kai ;Yan, Shuai ;Meng, Xianglu ;Wang, Deqiang
作者机构:[Dong, Kai ;Yan, Shuai ;Meng, Xianglu ;Wang, Deqiang ] School of Information Science and Engineering, Shandong University, Jinan; 250100, China
会议名称:5th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
会议日期:19 September 2015 through 22 September 2015
来源:2015 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2015
出版年:2015
DOI:10.1109/ICSPCC.2015.7338814
关键词:Channel estimation; compressed sensing (CS); dictionary; measurement matrix; ultra-wideband (UWB)
摘要:Channel estimation is a key issue for ultra-wideband (UWB) wireless communication systems. In this paper, we investigate UWB channel estimation, where the emerging compressed sensing (CS) is used to bypass the difficulty faced by Nyquist sampling. Particularly, we propose a couple of dual-kernel dictionaries, namely cross-derivative dictionary (CDD) and accessorial-derivative dictionary (ADD), to approximate the UWB signals sparsely, where both the transmitted pulse shape and its derivative are used as generating kernels. Extensive simulation results reveal that the proposed dictionaries provide much sparser approximation than the conventional multipath diversity based dictionary (MDD) and can be used to improve the channel estimation precision effectively. © 2015 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960971080&doi=10.1109%2fICSPCC.2015.7338814&partnerID=40&md5=a6732c2041cb1bf4cf6fe4517a16bafb
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