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Research On Indoor 3D Location Algorithm Based On Wireless Communication

Posted on:2021-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:G J WangFull Text:PDF
GTID:2428330614463863Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
Location service for man,machine,and object,is a critical technology of IOT(Internet Of Things).At present,suitable indoor positioning technology which can provide high-precision indoor3 D positioning services has not yet appeared.It is one of the hot spot technologies of IOT.Focus on UWB(Ultra Wide Band)technology,this paper has studied the indoor positioning technology in depth.Through the analysis on the position resolution and anti-interference,we expect to establish an innovative indoor positioning scheme,to fulfill the demand of current indoor location service.Research contents are as follows:(1)In view of the research on existing classic indoor positioning technologies and positioning algorithms,we focus on the LS(Least Square)location algorithm based on TOA(Time of Arrival).To deal with the obvious error of altitude orientation due to the smaller altitude difference of the base stations indoor,we adopt step-by-step solution instead of one-step of traditional LS method.The average location error of the new LS location algorithm is 0.279 m,which is 68.9% lower than that before.Meanwhile,to cope with the problem of insufficient range information in the NLOS condition,an improved localization scheme is proposed.The average location error of improved scheme is cut down 15.1% further.(2)In the area of track smoothing and anti-interference,after quadratic interpolation algorithm and linear Kalman filter algorithm are deeply researched,D-EKF(Double EKF)algorithm and AM-EKF(adaptive multiple EKF)algorithm are sequentially proposed to improve accuracy for the indoor location.For dynamic tags,the average location error of D-EKF is 0.256 m,which is 39.6%lower than traditional EKF.The average location error of AM-EKF is 0.179 m,which is 30.1%lower than D-EKF.For static tags,the average location error of AM-EKF algorithm is 0.085 m.(3)Finally,to verify the accuracy and stability of the proposed positioning algorithms,a comprehensive experimental test of the positioning algorithm is done,and the result is analyzed.Experiment results show that,compared with the traditional positioning algorithm,the proposed indoor 3D positioning algorithm has better positioning accuracy and stability.It can provide the accuracy of positioning error within 10 cm in complex indoor environment.It can fulfill the demands of most current indoor 3D positioning,with the location error of static tags less than0.1m and the location error of dynamic tags within 0.2m.
Keywords/Search Tags:Indoor 3D Positioning, UWB Communication, Least Square Method, Kalman Filter
PDF Full Text Request
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