IEICE TRANSACTIONS on Fundamentals
Energy Efficient Mobile Positioning System Using Adaptive Particle Filter
Summary :
An accurate but energy-efficient estimation of a position is important as the number of mobile computing systems grow rapidly. A challenge is to develop a highly accurate but energy efficient estimation method. A particle filter is a key algorithm to estimate and track the position of an object which exhibits non-linear movement behavior. However, it requires high usage of computation resources and energy. In this paper, we propose a scheme which can dynamically adjust the number of particles according to the accuracy of the reference signal for positioning and reduce the energy consumption by 37% on Cortex A7.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.6 pp.997-999
- Publication Date
- 2018/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.997
- Type of Manuscript
- LETTER
- Category
- Measurement Technology
Authors
Yoojin KIM
the Sogang University
Yongwoon SONG
the Sogang University
Hyukjun LEE
the Sogang University
Keyword
Latest Issue
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Yoojin KIM, Yongwoon SONG, Hyukjun LEE, "Energy Efficient Mobile Positioning System Using Adaptive Particle Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 6, pp. 997-999, June 2018, doi: 10.1587/transfun.E101.A.997.
Abstract: An accurate but energy-efficient estimation of a position is important as the number of mobile computing systems grow rapidly. A challenge is to develop a highly accurate but energy efficient estimation method. A particle filter is a key algorithm to estimate and track the position of an object which exhibits non-linear movement behavior. However, it requires high usage of computation resources and energy. In this paper, we propose a scheme which can dynamically adjust the number of particles according to the accuracy of the reference signal for positioning and reduce the energy consumption by 37% on Cortex A7.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.997/_p
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@ARTICLE{e101-a_6_997,
author={Yoojin KIM, Yongwoon SONG, Hyukjun LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Energy Efficient Mobile Positioning System Using Adaptive Particle Filter},
year={2018},
volume={E101-A},
number={6},
pages={997-999},
abstract={An accurate but energy-efficient estimation of a position is important as the number of mobile computing systems grow rapidly. A challenge is to develop a highly accurate but energy efficient estimation method. A particle filter is a key algorithm to estimate and track the position of an object which exhibits non-linear movement behavior. However, it requires high usage of computation resources and energy. In this paper, we propose a scheme which can dynamically adjust the number of particles according to the accuracy of the reference signal for positioning and reduce the energy consumption by 37% on Cortex A7.},
keywords={},
doi={10.1587/transfun.E101.A.997},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Energy Efficient Mobile Positioning System Using Adaptive Particle Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 997
EP - 999
AU - Yoojin KIM
AU - Yongwoon SONG
AU - Hyukjun LEE
PY - 2018
DO - 10.1587/transfun.E101.A.997
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2018
AB - An accurate but energy-efficient estimation of a position is important as the number of mobile computing systems grow rapidly. A challenge is to develop a highly accurate but energy efficient estimation method. A particle filter is a key algorithm to estimate and track the position of an object which exhibits non-linear movement behavior. However, it requires high usage of computation resources and energy. In this paper, we propose a scheme which can dynamically adjust the number of particles according to the accuracy of the reference signal for positioning and reduce the energy consumption by 37% on Cortex A7.
ER -
English
