NDLI: Sparse channel estimation for OFDM transmission over two-way works

Content Provider	IEEE Xplore Digital Library
Author	Peng Cheng Lin Gui Meixia Tao Guo, Y.J. Xiaojing Huang Yun Rui
Copyright Year	2012
Description	Author affiliation: CSIRO ICT Centre, Marsfield NSW 2122, Australia (Guo, Y.J.; Xiaojing Huang) \|\| Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China (Yun Rui) \|\| Dept. of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China (Peng Cheng; Lin Gui; Meixia Tao)
Abstract	Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. CS enables the recovery of high-dimensional sparse signals from much fewer samples than usually required. Further, quite a few recent channel measurement experiments show that many wireless channels also tend to exhibit sparsity. In this case, CS theory can be applicable to sparse channel estimation and its effectiveness has been validated in point-to-point (P2P) communication. In this work, we study sparse channel estimation for two-way relay networks (TWRN). Unlike P2P systems, applying CS theory to sparse channel estimation in TWRN is much more challenging. One issue is that the equivalent channels (terminal-relay-terminal) may be no longer sparse due to the linear convolutional operation. On this basis, novel schemes are proposed to solve this problem and effectively improve the accuracy of TWRN channel estimation when using CS theory. Extensive numerical results are provided to corroborate the proposed studies.
Starting Page	3948
Ending Page	3953
File Size	262141
Page Count	6
File Format	PDF
ISBN	9781457720529
ISSN	15503607
e-ISBN	9781457720536
e-ISBN	9781457720512
DOI	10.1109/ICC.2012.6364641
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Relays Vectors Convolution Coherence Simulation Wireless communication
Content Type	Text
Resource Type	Article

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