Mobile indoor localization using Kalman filter and trilateration technique

Abdul Wahid; Su Mi Kim; Jaeho Choi

doi:10.1117/12.2228404

8 December 2015 Mobile indoor localization using Kalman filter and trilateration technique

Abdul Wahid, Su Mi Kim, Jaeho Choi

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98751U (2015) https://doi.org/10.1117/12.2228404
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Abdul Wahid, Su Mi Kim, and Jaeho Choi "Mobile indoor localization using Kalman filter and trilateration technique", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751U (8 December 2015); https://doi.org/10.1117/12.2228404

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