Hybrid Wi-Fi indoor positioning method

Abstract

The invention discloses a mixed Wi-Fi indoor positioning method, and the method comprises a positioning scheme including offline training and online positioning. The offline training comprises a data collection module, a data preprocessing module, a signal attenuation model module and a classifier set module, and the online positioning comprises a data acquisition module, a data processing module, a coarse positioning module and a fine positioning module. According to the scheme, two types of Wi-Fi positioning algorithms are combined into a complete indoor positioning process, the approximate range of a target is determined through coarse positioning, then the binary classifier is selected from the given range for fine positioning, the positioning stability is improved, multiple binary classifiers are selected and trained in the scheme instead of a multi-classifier, so the complexity of model training is reduced; during online positioning, after the area where the target is located is determined through coarse positioning, the position of the target can be calculated only by calling a small number of classifiers in the area.

Description

technical field [0001] The invention belongs to the technical field of positioning, and in particular relates to a hybrid Wi-Fi indoor positioning method. Background technique [0002] In the era of 5G Internet of Things, with the popularization of mobile Internet, indoor positioning has become a rigid demand, and various indoor positioning technologies have received more and more attention and development, such as RFID positioning, WIFI positioning, UWB positioning, ultrasonic positioning, etc. Among them, due to the advantages of low equipment cost, relatively high positioning accuracy, and low power consumption, Wi-Fi positioning technology is favored in many fields. At present, Wi-Fi indoor positioning technology is mainly divided into two categories: measurement-based and location-based fingerprints: 1. Measurement-based Wi-Fi indoor positioning: extract parameter information from the received Wi-Fi signal, and calculate the target based on the parameters. The absolute...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the existing technology, the purpose of the present invention is to provide a hybrid Wi-Fi indoor positioning method, which solves the problem that although the concept of Wi-Fi positioning has been proposed for a long time, some manufacturers have also entered into commercial deployment, but because of Wi-Fi Signal propagation is easily affected by the environment, so even in the same location, the measured signal strength, signal arrival angle, signal arrival time and other information are always fluctuating, which brings great challenges to the accuracy of Wi-Fi positioning The problem

Images