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Design And Implementation Of Indoor Positioning System Based On Ultra-wideband Technology

Posted on:2020-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:H J YanFull Text:PDF
GTID:2438330575460174Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
With the development of science and technology,people's demand for indoor positioning technology is increasing day by day.Major indoor-based wireless positioning and tracking technologies emerge at the historie moment.Ultra-wideband technology has become the focus of indoor positioning research because of its strong penetration,high accuracy and strong security.The purpose of this paper is to compensate the error of UWB positioning system by filtering method,and to improve the positioning accuracy.Firstly,this paper makes a detailed analysis and comparison of various positioning methods,and chooses the positioning method based on bilateral bidirectional ranging as the subject's positioning method.Then,on the platform of Matlab,three kinds of Non?linear Filtering algorithms,Extended Kalman Filter,Cubature Kalman Filter and Particle Filter are simulated and compared.UWB system is sampled by fixed-point ranging and the ranging errors between different base stations and tags are compensated.Then the UWB planar positioning network with three base stations and one label is built.The base station and PC terminal are connected to the same router through wireless WiFi module to communicate.When positioning,the distance information collected from the three base stations is sent to the host computer in turn.The host computer combines the three sets of ranging information into a set of information through Centralized Measure-ment Fusion,and advances on the Matlab platfornl through filtering algorithm.Data processing and real-time location calculation are carried out to calculate more acczrate tag location information.After many practical tests in the fixed-point positioning environment,mobile positioning environment and target tracking environment,the conclusion of the subject is obtained.
Keywords/Search Tags:Indoor Location, UWB, Centralized Measurement Fusion, Nonlinear Filtering
PDF Full Text Request
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