Paper Abstract and Keywords |
Presentation |
2018-08-10 13:05
Accuracy estimation for position detection method using unmanned aerial vehicles based on positioning accuracy index Hiroyasu Ishikawa, Yuki Horikawa, Yuki Saito (Nihon Univ.) SAT2018-42 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In a typical unmanned aircraft systems (UASs) model, several unmanned aerial vehicles (UAVs) traveling at a velocity of 40–100 km/h and at an altitude of 150–1,000 m will be used to service a wide area. Therefore, Doppler shifts occur in the carrier frequencies of the transmitted and received signals because of the change in the line-of-sight velocity between the UAV and the terrestrial terminal. By observing multiple Doppler shift values for different UAVs, it is possible to detect the position of users that possess a communication terminal for the UAS. We have been researched and proposed a methodology for position detection based on a least squares method in conjunction with Doppler shift frequencies and a positioning accuracy index, which can be used as an index for position detection accuracy instead of the dilution of precision (DOP) method for a global positioning system (GPS). To confirm the operability and practicality of the proposed positioning method and the positioning accuracy index, computer simulation has been conducted by assuming various types of flying UAVs.
In this study, a calculation scheme for estimation of maximum and minimum position detection errors based on positioning accuracy index is newly proposed. Further, evaluations its numerical performance comparing with computer simulation results assuming two UAVs flying with a circularly model are presented. The evaluation results confirm that there are strong correlation between calculation results based on positioning accuracy index and computer simulation results based on least-square method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
unmanned aerial vehicle / Doppler shift / positioning accuracy index / estimation of position detection error / least-square method / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 176, SAT2018-42, pp. 73-78, Aug. 2018. |
Paper # |
SAT2018-42 |
Date of Issue |
2018-08-02 (SAT) |
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) |
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SAT2018-42 |
Conference Information |
Committee |
SAT RCS |
Conference Date |
2018-08-09 - 2018-08-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Iwate University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communications, etc. |
Paper Information |
Registration To |
SAT |
Conference Code |
2018-08-SAT-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Accuracy estimation for position detection method using unmanned aerial vehicles based on positioning accuracy index |
Sub Title (in English) |
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Keyword(1) |
unmanned aerial vehicle |
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Doppler shift |
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positioning accuracy index |
Keyword(4) |
estimation of position detection error |
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least-square method |
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1st Author's Name |
Hiroyasu Ishikawa |
1st Author's Affiliation |
Nihon University (Nihon Univ.) |
2nd Author's Name |
Yuki Horikawa |
2nd Author's Affiliation |
Nihon University (Nihon Univ.) |
3rd Author's Name |
Yuki Saito |
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Nihon University (Nihon Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-08-10 13:05:00 |
Presentation Time |
25 minutes |
Registration for |
SAT |
Paper # |
SAT2018-42 |
Volume (vol) |
vol.118 |
Number (no) |
no.176 |
Page |
pp.73-78 |
#Pages |
6 |
Date of Issue |
2018-08-02 (SAT) |
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