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Paper Abstract and Keywords
Presentation 2026-01-13 13:40
A Lightweight and Calibration-Free Path Loss Exponent Estimator with RSSI and Anchor Spacing
Gurusanthosh Pabbisetty, Hiroki Mori (Toshiba) SRW2025-52
Abstract (in Japanese) (See Japanese page) 
(in English) Indoor location estimation using model-based RSSI techniques relies predominantly on the estimation of Path Loss Exponent (PLE). Calibration of the PLE is typically performed to achieve accuracy. However, the PLE can vary over time due to environmental changes such as the movement of objects or people, making frequent recalibration impractical. While machine learning and complex computational methods can adapt to these changes, they may not be practical for use on mobile devices. Therefore, we propose a lightweight and calibration-free PLE estimator with easily available Received Signal Strength Indicator (RSSI) and distance between anchor devices. To evaluate the proposed method, we used simulation and measurement data to calculate the error in estimated distance from anchor devices, and the error in estimated location employing the well-known trilateration scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) RSSI / Localization / PLE Estimator / Calibration-Free / Anchor Spacing / Anechoic Chamber / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 313, SRW2025-52, pp. 8-13, Jan. 2026.
Paper # SRW2025-52 
Date of Issue 2026-01-06 (SRW) 
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 SRW2025-52

Conference Information
Committee SRW  
Conference Date 2026-01-13 - 2026-01-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) WLAN, WPAN, Sensor Networks, mmWave, etc. 
Paper Information
Registration To SRW 
Conference Code 2026-01-SRW 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Lightweight and Calibration-Free Path Loss Exponent Estimator with RSSI and Anchor Spacing 
Sub Title (in English)  
Keyword(1) RSSI  
Keyword(2) Localization  
Keyword(3) PLE Estimator  
Keyword(4) Calibration-Free  
Keyword(5) Anchor Spacing  
Keyword(6) Anechoic Chamber  
Keyword(7)  
Keyword(8)  
1st Author's Name Gurusanthosh Pabbisetty  
1st Author's Affiliation Toshiba Corporation (Toshiba)
2nd Author's Name Hiroki Mori  
2nd Author's Affiliation Toshiba Corporation (Toshiba)
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Speaker Author-1 
Date Time 2026-01-13 13:40:00 
Presentation Time 25 minutes 
Registration for SRW 
Paper # SRW2025-52 
Volume (vol) vol.125 
Number (no) no.313 
Page pp.8-13 
#Pages 6 
Date of Issue 2026-01-06 (SRW) 

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