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Energy Efficient Mobile Positioning System Using Adaptive Particle Filter
Yoojin KIM Yongwoon SONG Hyukjun LEE
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2018/06/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Measurement Technology
dynamic voltage frequency scaling, particle filter, mobile positioning,
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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.