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Paper Abstract and Keywords
Presentation 2021-01-21 10:15
A Study on Large-Scaled Signal Processing for Diversity Receptions in GNSS Positioning
Kosuke Kiyama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2020-66 SIP2020-44 RCS2020-157
Abstract (in Japanese) (See Japanese page) 
(in English) High-precision point positioning technology using GNSS (Global Navigation Satellite System) enables localization in the sub-meter or centimeter accuracy. On the other hand, there are problems in accuracy and reliability in multipath environments such as urban areas as well as mountainous areas. Positioning accuracy deteriorates due to the influence of obstacles between satellites and receivers in user equipment, for example, buildings and trees. The obstacles reduce the number of satellites in line-of-sight by blocking direct waves from satellites and cause multipath such as reflection and diffraction of direct waves from satellites. To address these issues, this paper proposes multi-dimensional signal processing for diversity receptions with the aid of multiple receivers for improving position estimation accuracy. The price of GNSS receiver has been reduced in re-cent years, so the installation of multiple receivers will be reasonable. In addition, we discuss the validity of the data selection criteria of satellite observations.
Keyword (in Japanese) (See Japanese page) 
(in English) GNSS / Large-scaled signal processing / Diversity / Position estimation / Point positioning / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 322, RCS2020-157, pp. 17-22, Jan. 2021.
Paper # RCS2020-157 
Date of Issue 2021-01-14 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
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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)
Download PDF IT2020-66 SIP2020-44 RCS2020-157

Conference Information
Committee SIP IT RCS  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2021-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Large-Scaled Signal Processing for Diversity Receptions in GNSS Positioning 
Sub Title (in English)  
Keyword(1) GNSS  
Keyword(2) Large-scaled signal processing  
Keyword(3) Diversity  
Keyword(4) Position estimation  
Keyword(5) Point positioning  
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Keyword(8)  
1st Author's Name Kosuke Kiyama  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Takumi Takahashi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hisato Iwai  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2021-01-21 10:15:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2020-66, SIP2020-44, RCS2020-157 
Volume (vol) vol.120 
Number (no) no.320(IT), no.321(SIP), no.322(RCS) 
Page pp.17-22 
#Pages
Date of Issue 2021-01-14 (IT, SIP, RCS) 


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