Academic Thesis

Basic information

Name Arai Shintaro
Belonging department
Occupation name
researchmap researcher code B000232542
researchmap agency Okayama University of Science

Title

RSSI-Based Localization Enhancement by Exploiting Interference Signals

Bibliography Type

Joint Author

Author

Hiroyuki Hatano, Seiya Horiuchi, Kosuke Sanada, Kazuo Mori, Takaya Yamazato, Shintaro Arai, Masato Saito, Yukihiro Tadokoro, and Hiroya Tanaka

Summary

Received Signal Strength Indicator (RSSI)-based localization is of interest in indoor localization systems. In this study, we propose a method to improve localization accuracy using interference-oriented fluctuation. We estimate the distance between target and beacon nodes by utilizing the nodes located around them. When the beacon node transmits a signal to the target for measuring the distance, the surrounding nodes also transmit a copy of the signal. Such signals cause interference patterns at the beacon, thereby randomizing the RSSI. Our developed statistical signal processing enables the estimation of the strength of the received signal with the randomized RSSI. We numerically show that the distance between the target and beacon nodes is estimated with lower error than when using the conventional method. In addition, such accurate distance estimation allows significant improvement in localization performance. Our approach is useful for indoor localization systems, for example, those in medical and industrial applications.

Magazine(name)

IEICE Transactions on Communications

Publisher

IEICE

Volume

vol. E108-B

Number Of Pages

no. 2

StartingPage

220

EndingPage

229

Date of Issue

2025/02

Referee

Exist

Invited

Not exist

Language

English

Thesis Type

Research papers (academic journals)

ISSN

DOI

10.23919/transcom.2024EBP3064

NAID

PMID

J-GLOBAL ID

arXiv ID

ORCID Put Code

DBLP ID