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Paper Abstract and Keywords
Presentation 2016-11-24 17:10
An Experimental study on the Effectiveness of Hierarchical-Bayesian Compressed Sensing for High-Accuracy and Robust TOA Estimation
Akira Moro, Guanghao Sun, Tetsuo Kirimoto (UEC) SANE2016-76
Abstract (in Japanese) (See Japanese page) 
(in English) Microwave radar system is a promising tool for observation of terrain surface and surveillance of suspicious ship under all weather conditions. To take advantage of the radar, high resolution of time of arrival (TOA) is required. However, the TOA resolution is dependent on the frequency bandwidth of transmitted signal. As one of the high resolution TOA estimation methods, the compressed sensing (CS) has been proposed, which is not affected by the limited frequency bandwidth. To retain the estimation accuracy of CS in lower SNR situation, this paper introduces a hierarchical Bayesian based CS approach for noise-robust TOA estimation. The experimental results demonstrate that our proposed method improves the accuracy of TOA estimation compare with the l1-norm based CS.
Keyword (in Japanese) (See Japanese page) 
(in English) Radar / time of arrival estimation / compressed sensing / hierarchical Bayesian model / variational Bayes method / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 319, SANE2016-76, pp. 127-132, Nov. 2016.
Paper # SANE2016-76 
Date of Issue 2016-11-17 (SANE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SANE  
Conference Date 2016-11-24 - 2016-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) National Taipei University of Technology (NTUT) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ICSANE2016 
Paper Information
Registration To SANE 
Conference Code 2016-11-SANE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Experimental study on the Effectiveness of Hierarchical-Bayesian Compressed Sensing for High-Accuracy and Robust TOA Estimation 
Sub Title (in English)  
Keyword(1) Radar  
Keyword(2) time of arrival estimation  
Keyword(3) compressed sensing  
Keyword(4) hierarchical Bayesian model  
Keyword(5) variational Bayes method  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Akira Moro  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Guanghao Sun  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Tetsuo Kirimoto  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2016-11-24 17:10:00 
Presentation Time 20 minutes 
Registration for SANE 
Paper # SANE2016-76 
Volume (vol) vol.116 
Number (no) no.319 
Page pp.127-132 
#Pages 6 
Date of Issue 2016-11-17 (SANE) 

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