Abstract
Recent time Wi-Fi-based positioning leads in non-GNSS methods for indoor positioning. Globally existing infrastructure is the main advantage of Wi-Fi-based methods. Traditional methods or gathering data for RSSI Fingerprint offline mode require costly site survey. This paper presents a method of RSSI data acquisition connected with inertial navigation system (INS) that takes less time without loss of positioning accuracy. Proposed algorithm gives opportunities to detect location for users without MEMS-platform on their mobile devices. Furthermore, Kalman filter is developed to decrease measurement errors. We evaluated our system in real conditions.
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Sivers, M., Fokin, G., Dmitriev, P., Kireev, A., Volgushev, D., Hussein Ali, Ao.A. (2017). Wi-Fi Based Indoor Positioning System Using Inertial Measurements. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_69
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DOI: https://doi.org/10.1007/978-3-319-67380-6_69
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