NDLI: Reliable channel estimation based on Bayesian compressive sensing for TDS-OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Fan, Zhenkai Lu, Zhaohua Hu, Yuting
Copyright Year	2014
Description	Author affiliation: Tsinghua National Laboratory for Information Science and Technology (NTList) Department of Electronic Engineering, Tsinghua University, Beijing 100084, China (Fan, Zhenkai; Hu, Yuting) \|\| ZTE Cooperation, Zhen Shen, China (Lu, Zhaohua)
Abstract	Time domain synchronous OFDM (TDS-OFDM) has higher spectrum efficiency than standard cyclic prefix OFDM (OFDM) by replacing CP with a known training sequence as the guard interval of OFDM data block, but severe mutual interferences will be caused in multipath channels. Recent studies have shown that the theory of compressive sensing (CS) can be efficiently applied to achieve reliable channel estimation to solve this problem, but the CS-based channel estimation suffers from obvious performance loss when the channel sparsity is unknown or under or the signal-to-noise ratio (SNR) is low. In this paper, we propose the Bayesian compressive sensing (BCS) based channel estimation algorithm to solve these problems, whereby some prior information of the channels can be exploited to improve the performance when channel sparsity is unknown. Besides, we also combine the statistical learning theory (SLT) and the basic thoughts of relevance vector machine (RVM) to further improve the noise-resistibility of channel estimation when SNR is low. Simulation results indicate that the proposed BCS-based channel estimation algorithm can effectively solve the major problems of the traditional CS-based schemes.
Starting Page	620
Ending Page	624
File Size	189250
Page Count	5
File Format	PDF
ISBN	9781479958320
DOI	10.1109/ICCS.2014.7024877
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation OFDM Bayes methods Compressed sensing Signal to noise ratio Vectors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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