Indoor Positioning Method Based on Wireless Signal

Jingjing Yang, Zhenyu Feng, Xuchao Ma, Xiao Zhang


In view of the problems of traditional wireless indoor positioning technologies such as errors and a low positioning accuracy that cannot reach the application level required by hospital indoor positioning, this study proposes a hospital indoor positioning method based on wireless signals. This study firstly analyzes the principles of hospital indoor positioning, verifies the reliability and accuracy of the collected data using Gaussian distribution, P-P plot and Q-Q plot, and finally analyzes the collected data using the least square fitting algorithm to obtain a fitting wave attenuation model, which is then applied to the indoor positioning system. Experiments show that this method can reduce the error of indoor positioning in hospitals, and improve the repeatability and measurement accuracy of indoor positioning in hospitals.


Indoor positioning; Wireless signal; Gaussian distribution; Fitting wave attenua-tion model

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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