A wifi-based indoor positioning and navigation method for large shopping malls

Abstract

The invention discloses a WiFi-based indoor positioning and navigation method for large-scale shopping malls. Firstly, a mobile terminal with an AP signal scanner scans the AP signals of wifi tags around to obtain the MAC address of the scanned AP signal; The intensity of the signal is sampled and measured to obtain measurement data; calculate the positions of all scanned Wifi tags according to the MAC address of the AP signal scanned in step 1 and the measurement data in step 2, and then use the positioning algorithm to locate. The specific process is: Estimation The location of the Wifi tag of the next location that the mobile terminal will arrive at; predict the location of the Wifi tag of the next location that the mobile terminal will arrive at; and then perform positioning according to the estimated location and the predicted location. The present invention dynamically predicts node positions, filters out RPs with no similar RSS vector at the label from the map to find the nearest neighbor, reduces the time and calculation complexity of the KNN algorithm, and greatly improves the positioning accuracy.

Description

technical field [0001] The invention relates to the technical field of indoor positioning and navigation, in particular to a method and system for indoor positioning and navigation of large shopping malls based on WiFi. Background technique [0002] With the development of the Internet of Things and smart cities, a large number of information services need the support of location information, that is, indoor positioning of large shopping malls based on WiFi, and navigation services. Similarly, in large supermarkets and stores, due to the large space and various products, functions such as positioning navigation and product search are required to improve customer experience. [0003] At present, the literature [Zhang Yongtuo. Research on indoor pedestrian positioning and tracking technology based on smart phone [D]. Qingdao: Ocean University of China, 2014.], [Xu Wei. Research and implementation of indoor positioning technology based on Android phone [D] .Wuhan: Central Chin...

AI Technical Summary

Problems solved by technology

[0006] In view of the current indoor positioning problems such as poor signal, low positioning accuracy, large indoor propagation signal fluctuations and unstable positioning results, in order to improve these unstable factors, the purpose of the present invention is to provide a large-scale shopping mall indoor positioning based on WiFi In the navigation method, the present invention filters out the RPs with no similar RSS vector at the label from the wireless map to find the nearest neighbor by dynamically predicting the position of the node, so as to reduce the time and computational complexity of the KNN algorithm, especially suitable for indoors of supermarkets and shopping malls positioning navigation

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