Abstract
With the dramatic development of location-based service (LBS), indoor localization techniques have been widely used in recent years. Among them, the indoor wireless local area network (WLAN) localization technique is recognized as one of the most favored solutions due to its low maintenance overhead and high localization accuracy. In this paper, we propose a new received signal strength (RSS)-based indoor localization approach using augmented manifold alignment. First of all, we construct the objective function in manifold space for indoor localization. Second, the optimal transform matrix is used to transform the coordinates of reference points (RPs) and the corresponding RSS vectors into manifold space. Finally, we locate the target at the RP with the transformed coordinates nearest to the transformation of the newly collected RSS vector in manifold space. The experimental results demonstrate that the proposed approach is able to achieve satisfactory localization accuracy with low overhead.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China (61771083, 61704015), Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), Special Fund of Chongqing Key Laboratory (CSTC), Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2017jcyjAX0380, cstc2015jcyjBX0065), Scientific and Technological Research Foundation of Chongqing Municipal Education Commission (KJ1704083), and University Outstanding Achievement Transformation Project of Chongqing (KJZH17117).
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Xie, L., Li, Y., Zhou, M., Nie, W., Tian, Z. (2020). Indoor WLAN Localization Based on Augmented Manifold Alignment. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_154
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DOI: https://doi.org/10.1007/978-981-13-6504-1_154
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