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Proceedings Paper

Mobile indoor localization using Kalman filter and trilateration technique
Author(s): Abdul Wahid; Su Mi Kim; Jaeho Choi
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Paper Abstract

In this paper, an indoor localization method based on Kalman filtered RSSI is presented. The indoor communications environment however is rather harsh to the mobiles since there is a substantial number of objects distorting the RSSI signals; fading and interference are main sources of the distortion. In this paper, a Kalman filter is adopted to filter the RSSI signals and the trilateration method is applied to obtain the robust and accurate coordinates of the mobile station. From the indoor experiments using the WiFi stations, we have found that the proposed algorithm can provide a higher accuracy with relatively lower power consumption in comparison to a conventional method.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751U (8 December 2015); doi: 10.1117/12.2228404
Show Author Affiliations
Abdul Wahid, Chonbuk National Univ. (Korea, Republic of)
Su Mi Kim, Seoyoung Univ. (Korea, Republic of)
Jaeho Choi, Chonbuk National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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