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Erschienen in:
2020 | OriginalPaper | Buchkapitel
A Weighted and Improved Indoor Positioning Algorithm Based on Wi-Fi Signal Intensity
verfasst von : Guanghua Zhang, Xue Sun
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
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Abstract
In order to solve the problem of the influence of signal strength fluctuation on indoor positioning accuracy, an improved indoor positioning algorithm based on WiFi signal strength is proposed in the paper. Based on the K-nearest neighbor location algorithm, the weight of the signal strength is further increased, the characteristics of the received signal and the fingerprint database are optimized, the interference of the weak signal on the positioning is reduced, and the accurate indoor positioning is achieved. The calculation in this work suggests that the positioning error can be reduced on the original basis, the accuracy of the algorithm is improved. On the basis of the original algorithm, the error range is narrowed and the positioning accuracy is improved. The average error of the improved algorithm is controlled at about 1.87 m.