Research On Localization Of Wi-Fi Devices By Unmanned Aerial Vehicles

The traditional use of UAV visual positioning is affected by surface vegetation cover,visibility and other factors,which greatly affects the positioning efficiency.This thesis studies the use of Wi-Fi signals for positioning,and locates the trapped person by locating the wireless devices carried by the trapped person,which can solve the limitations of visual positioning itself.Based on this idea,we propose different implementation strategies for two different positioning scenarios according to the characteristics of different scenarios to achieve the purpose of locating wireless devices.First of all,the subject has an algorithm design for the case where there is only one positioning target in the current scene,that is,only one wireless device.The RSSI value is extracted by frame analysis of the Probe Request signal sent by the wireless device,and the relationship between the RSSI and the distance is modeled,and the RSSI is converted into a distance between the wireless device and the wireless sniffer.The drone will dynamically adjust the flight path based on this value,constantly searching for the location where the RSSI value is the largest,and finally reaching the target location.Secondly,the subj ect has an algorithm design for the case where there is a number of positioning targets in the current scene,that is,there are multiple wireless devices.The drone first obtains information such as RSSI,MAC address,and position in the target area,and models the information to obtain a probability distribution model of the RSSI of the area.Then,through cluster analysis,several location points that the targets may exist with high possibility are obtained.The drone will perform path planning based on these points,confirm each location point,and achieve the purpose of locating all target points.