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Paper Abstract and Keywords
Presentation 2018-03-20 09:00
[Poster Presentation] MUSIC Algorithm Based on the Temporal DRR and Generalized Rayleigh Quotient under Reverberant Environment
Ryusuke Tanaka, Yoichi Haneda (UEC) EA2017-149 SIP2017-158 SP2017-132
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, direction-of-arrival (DOA) estimation methods have been investigated for many applications, owing to the development of information and communication technology. The multiple signal classification (MUSIC) algorithm is one of the best known subspace methods for DOA estimation. However, in the actual environment, the accuracy of the MUSIC algorithm for DOA estimation is degraded owing to reverberation. In this paper, we propose a novel DOA estimation method, which is based on the MUSIC algorithm but accounts for reverberation in the environment. We consider the time variant of temporal direct-to-reverberation ration (DRR) when speech is the sound source signal. From the generalized Rayleigh quotient of two covariance matrices of different DRR signals, we derive the property of desired subspace from the MUSIC algorithm under the reverberant environment. Then, using the subspace estimation based on this property, we can improve the DOA estimation accuracy of the MUSIC algorithm. The subspace is estimated with a constraint optimization algorithm for a subspace vector. We consider the three constraints for the subspace vector. In this paper, our proposed method is validated by experimentation in the real environment, and we explain how our proposed method can improve the accuracy of DOA estimation when compared to the conventional method. In addition, based on the constraint that the matrix of subspace vector is a full rank matrix, we found that our proposed method had the highest accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Microphone array / DOA estimation / MUSIC / generalized Rayleigh quotient / DRR / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 515, EA2017-149, pp. 261-266, March 2018.
Paper # EA2017-149 
Date of Issue 2018-03-12 (EA, SIP, SP) 
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)
Download PDF EA2017-149 SIP2017-158 SP2017-132

Conference Information
Committee SIP EA SP MI  
Conference Date 2018-03-19 - 2018-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] 
Paper Information
Registration To EA 
Conference Code 2018-03-SIP-EA-SP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) MUSIC Algorithm Based on the Temporal DRR and Generalized Rayleigh Quotient under Reverberant Environment 
Sub Title (in English)  
Keyword(1) Microphone array  
Keyword(2) DOA estimation  
Keyword(3) MUSIC  
Keyword(4) generalized Rayleigh quotient  
Keyword(5) DRR  
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Keyword(8)  
1st Author's Name Ryusuke Tanaka  
1st Author's Affiliation University of Electro-Communications (UEC)
2nd Author's Name Yoichi Haneda  
2nd Author's Affiliation University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2018-03-20 09:00:00 
Presentation Time 90 minutes 
Registration for EA 
Paper # EA2017-149, SIP2017-158, SP2017-132 
Volume (vol) vol.117 
Number (no) no.515(EA), no.516(SIP), no.517(SP) 
Page pp.261-266 
#Pages 6 
Date of Issue 2018-03-12 (EA, SIP, SP) 

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