Abstract
Traditional Wi-Fi positioning systems usually use the signal intensity for fingerprint localization. However, the intensity of the received signal varies with time. And it is also easily affected by the indoor multipath environment. This paper presents a positioning system using Channel State Information (CSI) exposed by commodity Wi-Fi chips without any hardware adjustments. The core modules of this system include an Angle of Arrival (AOA) and Time of Flight (TOF) estimating algorithm using CSI, along with a clustering algorithm to identify the direct path in multipath environment. In this paper, we employ affine propagation clustering to avoid disadvantages of traditional K-means algorithm. The experiment results show the proposed system achieves an accuracy of about 1 m in a multipath-rich indoor environment.
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Acknowledgement
This research was supported in part by the National Natural Science Foundation of China under Grant 61801041 and the Fundamental Research Funds for the Central Universities under Grant 2018RC15.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yin, L., Wang, Z., Deng, Z., Jiang, T., Sun, Y. (2019). Angle-of-Arrival Positioning System Based on CSI Virtual Antenna Array. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_21
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DOI: https://doi.org/10.1007/978-3-030-22968-9_21
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