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Research On Indoor Positioning Technology Based On WIFI And Mobile Intelligent Terminal

Posted on:2018-05-07Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2348330512973312Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
The location service is closely connected with people's life,with the help of satellite positioning system for radio communication network or the rest of the world,and people in the outdoor positioning navigation service wide space has been quite mature However,satellite signal can not reach the location of blind areas such as basements,large buildings and other closed environment positioning services,people also have an urgent need.However,satellite signal can not reach the location of blind areas such as basements,mines,large buildings and other closed environment positioning services,people also have an urgent need.Now there are many indoor positioning related technologies such as Bluetooth technology,RFID,wireless LAN and PDR,etc.,limited by positioning accuracy or laying costs,many indoor positioning solutions have not been widely used.Research low-cost,scalable and accurate positioning indoor positioning solutions become the hot spot.Mobile intelligent terminals,such as smart phones,bracelets,etc.,are highly portable and powerful computing capabilities of modern life.In view of the high popularity of mobile intelligent terminal and WIFI technology,this paper will discuss a feasible indoor positioning solution.The main contents of this paper are as follows:First of all,Analysis of the principle of WIFI technology and channel characteristics in complex indoor environments,which leads to the indoor positioning technology of the WIFI solution,RSSI method is widely used in fingerprint WIFI positioning,but one of the bottleneck method is collecting fingerprint in the off-line stage will cost a lot of manpower and time.In this paper,the characteristics of WIFI signal distribution in indoor environment are analyzed according to Gauss distribution.and then put forward by Gauss in the process of machine learning regression model for training location fingerprint offline collection,the overall WIFI signal distribution to locate the region through the model prediction,thereby reducing the density of the off-line location fingerprint acquisition,in order to reduce the cost,improve the efficiency of the application.The principle analysis of pedestrian trajectory estimation PDR.the intelligent mobile phone popularity high,has very strong operation ability,and equipped with a variety of sensors,can obtain the motion state of the pedestrian to analyze pedestrian step length,number and movement towards information through the sensor,therefore,this paper discusses the application of PDR technology in the smarty phone,in order to carry out indoor positioning.In the actual positioning scene,the fluctuation of WIFI signal value exists generally,even if the location fingerprint database with larger density is used,the results are sometimes unsatisfactory.The use of PDR technology for positioning will have accumulated error,both advantages and disadvantages,this paper proposes the use of fingerprint positioning and correction combined with PDR positioning positioning results,so as to improve the positioning accuracy.
Keywords/Search Tags:Indoor Positioning, WIFI, Gauss process regression, Location fingerprint, PDR
PDF Full Text Request
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