Abstract
At present, global positioning system (GPS) is the most widely used positioning technology for outdoors, but when it is indoors, its positioning accuracy will become lower. The anti-jamming ability of radio frequency identification (RFID) is strong, and it can be carried out in bad environment. Because of its advantages of non-sight distance, non-contact, relatively low price and so on, the application of RFID can realize the requirement of high-precision positioning. By analyzing the existing indoor positioning system, an algorithm of selecting the adaptive threshold value in virtual reference elimination (VIRE) is proposed in this paper, it can find the appropriate threshold values for each target to accommodate complex changes in the indoor environment, simulation results manifest its effectiveness.
This work was supported by the National Natural Science Foundation of China under Grant 61501176, Natural Science Foundation of Heilongjiang Province F2018025, University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province UNPYSCT-2016017, the postdoctoral scientific research developmental fund of Heilongjiang Province in 2017 LBH-Q17149.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, B., Zhen, J. (2019). An Adaptive Threshold VIRE Algorithm for Indoor Positioning. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_16
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DOI: https://doi.org/10.1007/978-3-030-19086-6_16
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