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Paper Abstract and Keywords
Presentation 2018-01-19 11:30
Performance Improvement by Two-step Search Method in DOA Estimation Based on Sparse Reconstruction
Toshiya Nasu, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2017-167
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, researches for applying signal-processing techniques based on sparse reconstruction and compressed sensing to DOA (Direction-Of-Arrival) estimation of radio waves have been actively conducted. As one of the optimization algorithms, ISTA (Iterative Shrinkage-Thresholding Algorithm) employing the steepest gradient method is used. In this algorithm, the signal parameters are searched through iterative updating with a constant step size in the gradient direction, so it takes much time to converge. On the other hand, the conjugate gradient (CG) method is conventionally known as an optimization algorithm with fast convergence, which actually can perform high-speed parameter searching by using the conjugacy of search vectors. In this paper, the estimation accuracy and computation time are examined for the two algorithms and two-step search algorithms in which the two algorithms are combined. As a result, it is confirmed that the estimation accuracy is the most improved in using ISTA at the first step and CG method at the second step.
Keyword (in Japanese) (See Japanese page) 
(in English) DOA estimation / Sparse reconstruction / ISTA / Conjugate gradient method / Two-step search method / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 382, AP2017-167, pp. 93-98, Jan. 2018.
Paper # AP2017-167 
Date of Issue 2018-01-11 (AP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 AP WPT  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) ATR 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless transmission technology, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2018-01-AP-WPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Improvement by Two-step Search Method in DOA Estimation Based on Sparse Reconstruction 
Sub Title (in English)  
Keyword(1) DOA estimation  
Keyword(2) Sparse reconstruction  
Keyword(3) ISTA  
Keyword(4) Conjugate gradient method  
Keyword(5) Two-step search method  
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Keyword(7)  
Keyword(8)  
1st Author's Name Toshiya Nasu  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Nobuyoshi Kikuma  
2nd Author's Affiliation Nagoya Institute of Technology (NITech)
3rd Author's Name Kunio Sakakibara  
3rd Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2018-01-19 11:30:00 
Presentation Time 20 minutes 
Registration for AP 
Paper # AP2017-167 
Volume (vol) vol.117 
Number (no) no.382 
Page pp.93-98 
#Pages
Date of Issue 2018-01-11 (AP) 


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