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Research On Indoor Navigation And Positioning Based On Mobile Phone Sensor

Posted on:2018-06-14Degree:MasterType:Thesis
Country:ChinaCandidate:C WangFull Text:PDF
GTID:2348330515464988Subject:Surveying the science and technology
Abstract/Summary:PDF Full Text Request
At present,the GNSS(Global Navigation Satellite System),which has matured in the outdoors,provides location services,but it can not receive satellite signals directly in the room,which poses a great problem to the location without blind spots.With the rapid development of smartphones built-in sensors,sensor-based location services have proven to have great potential in indoor positioning.The technology requires only the low-precision sensor built into the phone can be achieved,so the technology has low cost,high precision and wide application prospects.In this paper,the technology of indoor navigation and positioning based on mobile phone sensor is studied deeply,and the feasibility of sensor positioning technology in indoor navigation and positioning is analyzed by analyzing the present situation of indoor positioning research.This article has done the following aspects of the work:First: the use of Eclipse mobile phone sensor data acquisition software development,and MEMS(Micro-Electro-Mechanical System)gyroscope,MEMS accelerometer in the static state of the data analysis,which includes the stability analysis,random error analysis.Second: the process of mobile phone sensors in different parts of the body data characteristics of the analysis,these three positions are ankle,hand-held waist,with the arm swing,analysis of different locations of the data characteristics,as well as in the navigation and positioning of the application characteristics,taking into account Using a hand-held waist position.Third: sensor data preprocessing analysis,respectively,through the IIR low-pass filter,FIR low-pass filter,Fourier transform analysis,wavelet transform the data pre-processing,to eliminate the data in the burr,so that the data show the waveform smooth,The number of steps to prepare.The wavelet transform was used to analyze the experiment.Forth: pedestrian gait analysis in order to better calculate the number of steps,respectively,the use of several step method to step,and in the past step method to improve the above,put forward multi-feature analysis,through the experimental comparison of several steps The accuracy of the method,the use of multi-feature analysis.Fifth: Comparison of several mature step size calculation method,select the nonlinear step size calculation method.Based on the selection of the heading angle,the attitude test method of the electronic compass and the gyroscope based on the magnetic sensor was tested respectively,and the method of calculating the heading based on the vertical axis of the gyroscope was proposed.From the calculation results,Very good effect.
Keywords/Search Tags:wavelet analysis, multi-feature analysis, multi – sensor, filtering, indoor positioning
PDF Full Text Request
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