Abstract
Among different types of Wireless Local Area Network (WLAN) positioning systems, fingerprinting-based localization exhibits good accuracy performance, and thus becomes increasingly popular. Fingerprinting-based localization needs extensive calibration effort to construct a Received Signal Strength (RSS) fingerprint database, which hinders the large development of WLAN localization. In this paper, to reconstruct the raw sparse fingerprinting database and reduce manual effort, we propose a novel integrated Propagation Model-based Breakpoint Model Interpolation (PMBMI) and Multidimensional Linear Interpolation (MLI). We carry out extensive experiments in a ground-truth indoor environment to examine the localization accuracy of our proposed approach. Experimental results show that our proposed approach can be applied to reduce the labor cost in off-line phase, as well as guaranteeing high-enough accuracy performance.
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Acknowledgement
This work was supported in part by the Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), National Natural Science Foundation of China (61301126), Special Fund of Chongqing Key Laboratory (CSTC), Fundamental and Frontier Research Project of Chongqing (cstc2013jcyjA40041, cstc2013jcyjA40032, cstc2013jcyjA40034), Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJ130528), Startup Foundation for Doctors of CQUPT (A2012-33), Science Foundation for Young Scientists of CQUPT (A2012-77), and Student Research Training Program of CQUPT (A2013-64).
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Zhou, M., Qiu, F., Tian, Z., Zhang, Q., Jiang, Q. (2015). Interpolation Database Construction for Indoor WLAN Localization via Breakpoint Propagation Modeling. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_55
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DOI: https://doi.org/10.1007/978-3-319-08991-1_55
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08990-4
Online ISBN: 978-3-319-08991-1
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