Abstract
This paper aims to present a novel algorithm for indoor localization by employing the channel state information (CSI) which is collected by Wi-Fi chips that are on common Wi-Fi device to estimate the angle of arrival (AoA) of multipath components accurately. In a complex indoor environment, the proposed direct path identification algorithm can be used to identify the line of sight (LOS) and non-line of sight (NLOS) scenario with the averaged detection rates of 0.814 and 0.920, respectively. Finally, by using the widely-known least squares localization algorithm to locate the target. Extensive experimental results have demonstrated that our system can achieve the median localization error of 0.7 m and be robust to the environment variations.
Supported by the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN201800625).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yang, X., Yu, X., Wang, J., Jiang, Q., Zhou, M. (2019). Precise Direction Detector: Indoor Localization System Based on Commodity Wi-Fi. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_16
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DOI: https://doi.org/10.1007/978-3-030-19153-5_16
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