Multiple Power Path Loss Fingerprinting for Sensor-Based Indoor Localization

Yaoxin Duan; Kam-Yiu Lam; Victor C. S.  Lee; Wendi Nie; Hao Li; Joseph K. Y. Ng

doi:10.1109/LSENS.2017.2726181

Multiple Power Path Loss Fingerprinting for Sensor-Based Indoor Localization

Yaoxin Duan, Kam-Yiu Lam, Victor C. S. Lee, Wendi Nie^*, Hao Li, Joseph K. Y. Ng

^*Corresponding author for this work

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

8 Citations (Scopus)

Abstract

Previous fingerprinting techniques proposed for sensor-based indoor localization assume that the fingerprint database is constructed by the measurement of received signal strength (RSS) at a fixed transmit power of the transmitter sensors. In order to improve the performance of the fingerprinting technique, we consider using the measurement of path loss rather than RSS to better distinguish the signal quality at different locations. In this article, we propose an innovative fingerprint formulation, called multiple power path loss (MPPL) fingerprint, based on distinguished path losses at multiple power levels. By analyzing the signal propagation in an indoor environment, the MPPL fingerprint reveals its subtle advantage of using multiple transmit power. In addition, a location estimation algorithm is deliberately designed to exploit the performance characteristics of the MPPL fingerprint. Extensive experimental results illustrate the usability and superiority of our proposed method.

Original language	English
Journal	IEEE Sensors Letters
Volume	1
Issue number	4
Online published	12 Jul 2017
DOIs	https://doi.org/10.1109/LSENS.2017.2726181
Publication status	Published - Aug 2017

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@article{01aa834befbc4dbf95b8d84603995590,

title = "Multiple Power Path Loss Fingerprinting for Sensor-Based Indoor Localization",

abstract = "Previous fingerprinting techniques proposed for sensor-based indoor localization assume that the fingerprint database is constructed by the measurement of received signal strength (RSS) at a fixed transmit power of the transmitter sensors. In order to improve the performance of the fingerprinting technique, we consider using the measurement of path loss rather than RSS to better distinguish the signal quality at different locations. In this article, we propose an innovative fingerprint formulation, called multiple power path loss (MPPL) fingerprint, based on distinguished path losses at multiple power levels. By analyzing the signal propagation in an indoor environment, the MPPL fingerprint reveals its subtle advantage of using multiple transmit power. In addition, a location estimation algorithm is deliberately designed to exploit the performance characteristics of the MPPL fingerprint. Extensive experimental results illustrate the usability and superiority of our proposed method.",

author = "Yaoxin Duan and Kam-Yiu Lam and Lee, {Victor C. S.} and Wendi Nie and Hao Li and Ng, {Joseph K. Y.}",

year = "2017",

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language = "English",

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T1 - Multiple Power Path Loss Fingerprinting for Sensor-Based Indoor Localization

AU - Duan, Yaoxin

AU - Lam, Kam-Yiu

AU - Lee, Victor C. S.

AU - Nie, Wendi

AU - Li, Hao

AU - Ng, Joseph K. Y.

PY - 2017/8

Y1 - 2017/8

N2 - Previous fingerprinting techniques proposed for sensor-based indoor localization assume that the fingerprint database is constructed by the measurement of received signal strength (RSS) at a fixed transmit power of the transmitter sensors. In order to improve the performance of the fingerprinting technique, we consider using the measurement of path loss rather than RSS to better distinguish the signal quality at different locations. In this article, we propose an innovative fingerprint formulation, called multiple power path loss (MPPL) fingerprint, based on distinguished path losses at multiple power levels. By analyzing the signal propagation in an indoor environment, the MPPL fingerprint reveals its subtle advantage of using multiple transmit power. In addition, a location estimation algorithm is deliberately designed to exploit the performance characteristics of the MPPL fingerprint. Extensive experimental results illustrate the usability and superiority of our proposed method.

AB - Previous fingerprinting techniques proposed for sensor-based indoor localization assume that the fingerprint database is constructed by the measurement of received signal strength (RSS) at a fixed transmit power of the transmitter sensors. In order to improve the performance of the fingerprinting technique, we consider using the measurement of path loss rather than RSS to better distinguish the signal quality at different locations. In this article, we propose an innovative fingerprint formulation, called multiple power path loss (MPPL) fingerprint, based on distinguished path losses at multiple power levels. By analyzing the signal propagation in an indoor environment, the MPPL fingerprint reveals its subtle advantage of using multiple transmit power. In addition, a location estimation algorithm is deliberately designed to exploit the performance characteristics of the MPPL fingerprint. Extensive experimental results illustrate the usability and superiority of our proposed method.

U2 - 10.1109/LSENS.2017.2726181

DO - 10.1109/LSENS.2017.2726181

M3 - RGC 21 - Publication in refereed journal

VL - 1

JO - IEEE Sensors Letters

JF - IEEE Sensors Letters

IS - 4

ER -