Lei Sun1, Ling Tan1,*, Wenjie Ma1, Jingming Xia2
Journal on Internet of Things, Vol.2, No.1, pp. 23-35, 2020, DOI:10.32604/jiot.2020.09075
- 06 August 2020
Abstract In recent years, WiFi indoor positioning technology has become a hot
research topic at home and abroad. However, at present, indoor positioning
technology still has many problems in terms of practicability and stability, which
seriously affects the accuracy of indoor positioning and increases the complexity of
the calculation process. Aiming at the instability of RSS and the more complicated
data processing, this paper proposes a low-frequency filtering method based on fast
data convergence. Low-frequency filtering uses MATLAB for data fitting to filter
out low-frequency data; data convergence combines the mean and multi-data
parallel analysis process More >
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