Particle filter and clustering based robust positioning algorithm in the WiFi weak signal environment

Authors
Shin, BeomjuYu, Bo seonLee, TaikjinKim, JaehunBang, Jaewon
Issue Date
2017-01
Publisher
INST NAVIGATION
Citation
International Technical Meeting of The Institute-of-Navigation, pp.116 - 122
Abstract
To estimate a position in the indoor environment, WiFi positioning system (WPS) is useful technology in view of positioning performance, cost, availability. Especially, particle filter (PF) present a stable performance by integrating WiFi signal and sensor output such as accelerometer and gyroscope. But the initial positioning error remains a problem. In this paper, we propose the pattern matching algorithm and clustering approach to correct the initial positioning error. To make a weak WiFi environment, we utilize only 20% installed access point (AP). We identify that the proposed algorithm makes a stable positioning performance than the conventional PF.
ISSN
2330-3646
URI
https://pubs.kist.re.kr/handle/201004/114680
Appears in Collections:
KIST Conference Paper > 2017
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