Mobile Location Estimation Using Fuzzy-Based IMM and Data Fusion

Authors:
Chang-Yi Yang;Bor-Sen Chen;Feng-Ko Liao
Affiliations:
National Penghu University, Penghu;National Tsing-Hua University, Hsin-chu;National Tsing-Hua University, Hsin-chu
Venue:
IEEE Transactions on Mobile Computing
Year:
2010

Citing 0
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Improving the localization accuracy of targets by using their spatial-temporal relationships in wireless sensor networks

Journal of Parallel and Distributed Computing

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Abstract

The location of mobile station is an important issue for wireless communication systems. A location estimation scheme using fuzzy-based Interacting Multiple Model (IMM) smoother is proposed in this paper. It combines the time-of-arrival (TOA) and the received signal strength (RSS) measurements to achieve high location accuracy. The fuzzy technique is used to interpolate several linear equations to approximate the nonlinear RSS measurement. The IMM is employed as a switch between the line-of-sight (LOS) and non-line-of-sight (NLOS) states which are considered to be a Markov process with two interactive modes. By integrating the fuzzy filtering and the IMM method for range estimation between the corresponding base station (BS) and mobile station (MS), the proposed robust scheme, in association with data fusion, can efficiently mitigate the NLOS effects on the measurement range error. Simulation results are given to confirm the performance of the proposed method.