Abstract
In this paper, the traditional indoor positioning algorithm of WiFi based on RSSI has low positioning accuracy and large positioning error. In order to improve the positioning accuracy at indoor environment, an improved the indoor positioning algorithm based on BP neural network.Using BP neural network and fingerprint algorithm to improve the WiFi indoor positioning technology.Analyzed the deficiencies of traditional BP neural network algorithms and proposed an improved BP neural network algorithm.Studied the indoor positioning fingerprint algorithm of BP neural network,and arranged the experimental environment with laptops to collect fingerprint data.Propossed RSSI data and use these data to construct BP neural network model.
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