Ultra-wideband/BDS Indoor and Outdoor Seamless Positioning Algorithm Based on FNN-WCF

Abstract

In order to enable the positioning system to complete real-time positioning in indoor and outdoor environments, an Ultra-wide band/Beidou indoor and outdoor seamless positioning algorithm based on fuzzy neural network and weighted cost function (FNN-WCF) is proposed. Through the analysis of multi-source data, the influencing factors needed in the network handover are determined, and the FNN-WCF handover model is constructed to realize seamless handover between different positioning subsystems. Perform operations such as fuzzing and defuzzifying each parameter to calculate the function value of different subsystems, and then compare the size of the function value to choose whether to switch. Experimental results show that the model can effectively realize the vertical switching between different positioning subsystems, and the positioning accuracy is less than 0.25m.