Font Size: a A A

The Study Of Indoor Positioning Technology Based On Mobile Devices

Posted on:2016-09-15Degree:MasterType:Thesis
Country:ChinaCandidate:T J ZangFull Text:PDF
GTID:2298330467988425Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
In recent years, with advances in wireless technology and wireless LANtechnology, as well as increasing demand for location-based services to promote thedevelopment of positioning technology. In open outdoor environments, the globalpositioning system GPS provides very accurate positioning information, and thenbecause of the special nature of their indoor environment, the current number ofsystems used for outdoor positioning difficult migrate to indoor positioningapplications. At the same time, the demand for indoor location information is alsoincreasing, airports, exhibition halls, office buildings, underground parking, prisons,and so need to use accurate indoor positioning information on available space andefficient inventory management. Therefore indoor positioning has broad applicationprospects, current research focus.Because of the characteristic of indoor positioning technology applied to indooroccasions, aiming at the key link of ranging and positioning technology, using mobilephone which is a mature commercial mobile equipment, studied between two pointsranging technology based mobile devices. Learn from the time difference in arrivalTDOA ideas based on existing hardware configuration on the phone, bidirectionalperception, self-documenting, and other measures to achieve a sample count betweentwo distance-based mobile devices. Ranging avoid the traditional process clocksynchronization requirements for equipment and technology for the analysis of thedistance and verification.Signal arrival time difference between two transceiver devices of two transceiversand one mobile device to study the composition of indoor localization system. With theAOA estimation algorithm for the formation of a TDOA/AOA hybrid location scheme,The program focuses on the Taylor series expansion location estimation and Kalmanfilter estimation. In order to verify the performance of algorithm is adaptive andpositioning of the environment and the precision of two algorithms for solving the various schemes under different environments are compared to the theoretical analysis andsimulation experiment.
Keywords/Search Tags:Indoor Positioning, Ranging, Mobile devices, Hybrid Location
PDF Full Text Request
Related items