Shin, Beomju Yu, Bo seon Lee, Taikjin Kim, Jaehun Bang, Jaewon 2024-01-19T11:09:06Z 2024-01-19T11:09:06Z 2022-02-28 2017-01 2330-3646 https://pubs.kist.re.kr/handle/201004/114680 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. English INST NAVIGATION Particle filter and clustering based robust positioning algorithm in the WiFi weak signal environment Conference 1 International Technical Meeting of The Institute-of-Navigation, pp.116 - 122 International Technical Meeting of The Institute-of-Navigation 116 122 US Monterey, CA 2017-01-30 PROCEEDINGS OF THE 2017 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION 000405076700008 2-s2.0-85018240898