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An Indoor Location System Based On WIFI

Posted on:2016-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:X L DuFull Text:PDF
GTID:2308330503476450Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Because of the popularity of smart mobile phone and the development of mobile Internet, a new application in map and navigation has been proposed-- the indoor location. In recent years, many indoor location technology have been raised and some applications have been used. Although there have been a large number of indoor location products, how to improve the accuracy is still a big problem, and to dynamic tracking indoor is a new research which based on indoor location, the technology of dynamic tracking indoor still need more research.For the above, an indoor location system based on WIFI which works mainly by the user has been designed in the dissertation. A new WIFI location algorithm which based on the KNN algorithm theory has been proposed.There mostly completed the following works.Firstly, The system designer according to the system requirement has been designed and implemented in WIFI sample module. The system can open mobile phone WIFI automatically, uploaded the parameters which are asked during WIFI data collection, and post the data to server, it can also display the WIFI data by the APP in real time. In this dissertation, a MultiFilter algorithm has been designed to filter noise-data, the testing shows the MultiFilter algorithm is effectively to filter low value WIFI and big wave WIFI data, thus to improve the location accuracy.Secondly, The merchants and moving user location module has been designed and implemented. The system can storage merchants information and locate the merchants on the APP map; A WIFI location algorithm has been designed and implemented, which used to locate the moving user based on the WIFI data which collect by the mobile phone. The testing shows that, the system can fast response, the accuracy is under 3M, and the location results are stable.Thirdly, The dynamic tracking module has been designed and implemented. In this part a dynamic tracking algorithm has been designed and implemented. The system can collect mobile user WIFI data in real-time, and call dynamic tracking algorithm to get the dynamic tracking path and display it on the map. Experiments show that the dynamic tracking algorithm has a slight delay, but the delay can be accepted by the user. In addition, user can also configure the parameters to select which sample algorithm and location algorithm been used in the system, so the algorithm can switch easily and the code can be extend and maintenance conveniently.The indoor location system based on WIFI designed and implemented in this dissertation, it can accurately get the merchants location and the moving users’location indoor, it also can give the dynamic tracking path on the APP map. Meanwhile, the system has a good throughput, fast response, data disaster recovery, good accuracy and high performance. Therefore, this works has achieved the intended target.
Keywords/Search Tags:WIFI Location Indoor, MultiFilter algorithm, KNN, WIFI Sample, Dynamic tracking
PDF Full Text Request
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