Paper Abstract and Keywords |
Presentation |
2022-06-17 09:20
A Study on Indoor Location Estimation Based on Complex-Domain Super MDS Method Using Time Series Information Yuya Nishi, Takumi Takahashi (Osaka univ.), Hiroki Iimori, Giuseppe Abreu (JUB), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka univ.) RCS2022-55 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
As sensor terminals become smaller, more energy-efficient, and more multi-functional, wireless communication networks are becoming a fundamental technology supporting a variety of applications. Wireless positioning technology is one of the most vital research topics, and there is an urgent need to design algorithms that achieve highly accurate indoor localization with low computational complexity.
CD-SMDS (Complex Domain Super Multidimensional Scaling) is known as a low-complexity localization method based on a Gram kernel matrix that integrates distance and angle information obtained from wireless networks, and the larger the dimensionality of the Gram kernel matrix, the better the estimation accuracy.
In this paper, we assume that the target device is capable of simple self-positioning (estimation of its own distance and direction of movement), and attempt to further improve the accuracy of CD-SMDS by forming a multidimensional Gram kernel that incorporates time-series information.
Finally, we confirm the efficacy of the proposed method through computer simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Wireless indoor localization / multidimensional scaling / time series information / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 73, RCS2022-55, pp. 182-187, June 2022. |
Paper # |
RCS2022-55 |
Date of Issue |
2022-06-08 (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) |
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RCS2022-55 |
Conference Information |
Committee |
RCS |
Conference Date |
2022-06-15 - 2022-06-17 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
University of the Ryukyus, Senbaru Campus and online |
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 |
2022-06-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Indoor Location Estimation Based on Complex-Domain Super MDS Method Using Time Series Information |
Sub Title (in English) |
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Keyword(1) |
Wireless indoor localization |
Keyword(2) |
multidimensional scaling |
Keyword(3) |
time series information |
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1st Author's Name |
Yuya Nishi |
1st Author's Affiliation |
Osaka University (Osaka univ.) |
2nd Author's Name |
Takumi Takahashi |
2nd Author's Affiliation |
Osaka University (Osaka univ.) |
3rd Author's Name |
Hiroki Iimori |
3rd Author's Affiliation |
Jacob University Bremen (JUB) |
4th Author's Name |
Giuseppe Abreu |
4th Author's Affiliation |
Jacob University Bremen (JUB) |
5th Author's Name |
Shinsuke Ibi |
5th Author's Affiliation |
Doshisha University (Doshisha Univ.) |
6th Author's Name |
Seiichi Sampei |
6th Author's Affiliation |
Osaka University (Osaka univ.) |
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Speaker |
Author-1 |
Date Time |
2022-06-17 09:20:00 |
Presentation Time |
10 minutes |
Registration for |
RCS |
Paper # |
RCS2022-55 |
Volume (vol) |
vol.122 |
Number (no) |
no.73 |
Page |
pp.182-187 |
#Pages |
6 |
Date of Issue |
2022-06-08 (RCS) |
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