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Paper Abstract and Keywords
Presentation 2023-12-21 14:15
A study on indoor positioning of a drone base station using Wi-Fi RTT of multiple Wi-Fi terminals
Tomoki Okaya, Kentaro Kobayashi, Wataru Chujo (Meijo Univ.) WBS2023-37 ITS2023-20 RCC2023-31
Abstract (in Japanese) (See Japanese page) 
(in English) GPS is generally used to establish navigation and safety functions when drones fly autonomously outdoors, but these functions cannot be used in non-GPS environments such as indoor flight. This study focuses on drone indoor positioning using Wi-Fi RTT (Round Trip Time), which measures the RTT from a Wi-Fi terminal to a Wi-Fi AP (Access Point). The previous studies focused on positioning methods where a drone with a Wi-Fi terminal measures distances based on RTT to multiple Wi-Fi APs around the drone. This paper focuses on a positioning method where a drone base station with the Wi-Fi AP function measures distances based on RTT to multiple Wi-Fi terminals around the drone. As an experimental method, four Wi-Fi terminals are placed around the drone, and a minimum mean square error estimation of the drone's position is performed by requesting Wi-Fi RTT ranging to the terminals and obtaining the results. Its positioning accuracy is evaluated experimentally.
Keyword (in Japanese) (See Japanese page) 
(in English) Drone / Wi-Fi RTT / Ranging / Indoor positioning / Localization / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 316, RCC2023-31, pp. 48-52, Dec. 2023.
Paper # RCC2023-31 
Date of Issue 2023-12-14 (WBS, ITS, RCC) 
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 WBS2023-37 ITS2023-20 RCC2023-31

Conference Information
Committee ITS WBS RCC  
Conference Date 2023-12-21 - 2023-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To RCC 
Conference Code 2023-12-ITS-WBS-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on indoor positioning of a drone base station using Wi-Fi RTT of multiple Wi-Fi terminals 
Sub Title (in English)  
Keyword(1) Drone  
Keyword(2) Wi-Fi RTT  
Keyword(3) Ranging  
Keyword(4) Indoor positioning  
Keyword(5) Localization  
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1st Author's Name Tomoki Okaya  
1st Author's Affiliation Meijo University (Meijo Univ.)
2nd Author's Name Kentaro Kobayashi  
2nd Author's Affiliation Meijo University (Meijo Univ.)
3rd Author's Name Wataru Chujo  
3rd Author's Affiliation Meijo University (Meijo Univ.)
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Speaker Author-1 
Date Time 2023-12-21 14:15:00 
Presentation Time 25 minutes 
Registration for RCC 
Paper # WBS2023-37, ITS2023-20, RCC2023-31 
Volume (vol) vol.123 
Number (no) no.314(WBS), no.315(ITS), no.316(RCC) 
Page pp.48-52 
#Pages
Date of Issue 2023-12-14 (WBS, ITS, RCC) 


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