Abstract
Many researches have studied indoor localization techniques in past decades. Depending on a wireless sensor network, current distance-based localization techniques exploit different measurements of Received Signal Strength (RSS) values between RF devices. It is simple to implement and costly efficient, while the estimation accuracy is significantly reduced in indoor environments. In this paper, we focus on localization methods in real indoor environments using IEEE 802.15.4 standard Zigbee network. The objective is to mitigate the instability and divergence of signal strength by using successional RSS evaluations with Kalman filtering and avoid multiple NLOS interferences by using LOS node set identification procedure.
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Acknowledgement
This research was supported by Basic Science Research Pro-gram through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016R1A2B1015032).
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Kwon, K., Kwon, Y. (2017). Mobile Indoor Localization Mitigating Unstable RSS Variations and Multiple NLOS Interferences. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_22
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DOI: https://doi.org/10.1007/978-3-319-65298-6_22
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