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Paper Abstract and Keywords
Presentation 2024-06-21 09:00
A Study on LSTM-Aided GNSS Positioning with LTE Signal as Auxiliary Information
Kotaro Oda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-70
Abstract (in Japanese) (See Japanese page) 
(in English) Position estimation by the global navigation satellite system (GNSS), including the global positioning system (GPS), is susceptible to multipath effects in urban areas and between tall buildings, which degrade positioning accuracy. In this study, to address this issue,
we supplement GNSS positioning with information obtained through communication with LTE base stations, utilizing it as features for position estimation.Using this information, we propose a method to employ a neural network (NN).Focusing on the fact that the data obtained from the distance measurement signals broadcasted by positioning satellites and long term evolution (LTE) signal data constitute continuous time-series data, we employ long short-term memory (LSTM), which is commonly used in time-series deep NN models.Furthermore, to confirm the effectiveness of the proposed method, we evaluate the positioning accuracy of test data.This evaluation considers the time interval between the training and test data applied to LSTM, which are spaced across days and weeks.
Keyword (in Japanese) (See Japanese page) 
(in English) GNSS positioning / LTE signal / multipath / neural network / LSTM / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 84, RCS2024-70, pp. 248-253, June 2024.
Paper # RCS2024-70 
Date of Issue 2024-06-12 (RCS) 
ISSN 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 RCS2024-70

Conference Information
Committee RCS  
Conference Date 2024-06-19 - 2024-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2024-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on LSTM-Aided GNSS Positioning with LTE Signal as Auxiliary Information 
Sub Title (in English)  
Keyword(1) GNSS positioning  
Keyword(2) LTE signal  
Keyword(3) multipath  
Keyword(4) neural network  
Keyword(5) LSTM  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kotaro Oda  
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 2024-06-21 09:00:00 
Presentation Time 10 minutes 
Registration for RCS 
Paper # RCS2024-70 
Volume (vol) vol.124 
Number (no) no.84 
Page pp.248-253 
#Pages 6 
Date of Issue 2024-06-12 (RCS) 

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