Abstract
With the development of wireless communication technologies and the Internet, the application scenarios of positioning technologies are becoming more and more abundant. Therefore, the demand for location-based services is increasing greatly. Moreover, due to the widespread deployment of commercial WIFI devices, a WIFI-based localization system is very promising. This paper focuses on the localization algorithms utilizing Channel State Information (CSI) based on a conventional MUSIC algorithm in a single-node indoor localization system. However, the conventional MUSIC algorithm searches all the peaks in spatial spectrum. It requires enormous computation and thus is unsuitable for accurate positioning applications. This paper is intended to improve the algorithm in terms of positioning accuracy and computational complexity. Numerical results show that the proposed algorithm can improve the positioning accuracy and reduce computational complexity.
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Acknowledgment
This topic is from the Heilongjiang Provincial Science Fund Project. Project Name: High-precision single-point indoor positioning theory and method based on OFDM-MIMO (No. ZD2017013) and from the national Science Fund Project: Wide-area space-based broadband wireless communication theory and air-ground multi-beam high-throughput transmission method (No. 61871155).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Y., Meng, W., Zhao, Y., Han, S. (2019). Improvement of a Single Node Indoor Localization System. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_17
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DOI: https://doi.org/10.1007/978-3-030-37262-0_17
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