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Research On A Non-intrusive WiFi Positioning System

Posted on:2018-09-07Degree:MasterType:Thesis
Country:ChinaCandidate:M Q WangFull Text:PDF
GTID:2348330566951437Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the development of the technology of mobile internet,service based on location is becoming hot.WiFi positioning has showed tremendous possibilities for market.This is because it can be applied into a variety of environments,wherever outdoors or indoors,and these systems are always convenient to deploy.However,most of the current research on WiFi positioning requires tedious previous exploration,and target device has to be deeply engaged in positioning progress.Both of these problems limit the large extent of WiFi positioning market.This paper presents a non-intrusive WiFi positioning system for solving these problems.Through arranged a few number of WiFi-aware nodes in the environment,to build a WiFi awareness net,and to achieve real-time wireless information awareness and analysis.In positioning process,target devices do not need to be involved,need neither to do any action or reaction,nor to install specific software.The whole process,for the device,is non-intrusive and friendly,also is low power consumption.Since the awareness of environmental information is real time,there is no need to previous exploration of the environment like a traditional WiFi positioning system.Wireless environment changes in the scene will be detect and update,so there is no need to re-exploration environment like a traditional WiFi positioning system as well.This mechanic reduces the maintenance cost of location database.This paper provides the detail of non-intrusive positioning system structure,principles and methods of location-aware.Given the overall design of the system framework,as well as some detailed design modules.In addition,density-based clustering algorithm DBSCAN is apply in the processing of location data.Wireless signal propagation is associated with WiFi positioning methods for the current mainstream approach to simulate the system,also this paper researches and demonstrates the key factor of position data clustering,as well as system performance under complex interference environment.According to the experiment,the nonintrusive WiFi positioning system proposed by this paper has a good performance.
Keywords/Search Tags:WiFi Positioning, Non-intrusive, Location Service, DBSCAN, Clustering
PDF Full Text Request
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