标题：Segmented compressed sensing scheme for UWB channel estimation
作者：Li, Guozhu ;Wang, Deqiang ;Zhang, Zikai ;Li, Zhiyong
作者机构：[Li, Guozhu ;Wang, Deqiang ;Zhang, Zikai ;Li, Zhiyong ] School of Information Science and Engineering, Shandong University, Jinan 250100, China
会议名称：2014 International Conference on Information and Communications Technologies, ICT 2014
会议日期：15 May 2014 through 17 May 2014
来源：IET Conference Publications
关键词：Channel estimation; Compressed sensing (CS); Orthogonal matching pursuit (OMP); Ultra-wideband (UWB)
摘要：Due to the high bandwidth of ultra-wideband (UWB) signals, channel estimation is regarded as a challenging issue involved in the realization of digital UWB receivers. Fortunately, the compressed sensing (CS) theory provides a promising way to solve this problem with much lower sampling rate. In traditional CS-based channel estimation schemes, researchers estimate the whole channel waveform at a time. Usually, the implementation complexity is nontrivial. In this paper, we propose a segmented CS-based channel estimation scheme. Specifically, the channel waveform is estimated in a segment by segment manner. For each segment, both the sparsity of the signal and the required scale of the measurement matrix are relatively lower. As a result, the implementation complexity can be reduced effectively. In order to improve the channel estimation performance in noisy environments, making use of the prior information on the UWB signals, we propose a weighted orthogonal matching pursuit (WOMP) algorithm. In WOMP, a weighted matching progress is performed such that dominating components of the target signal can be recovered more reliably. Simulation results show that good performance can be achieved by using our proposed scheme.