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The Algorithm Research Based On RFID Indoor3D Positioning

Posted on:2014-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:J LiFull Text:PDF
GTID:2268330401465404Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
As the technology of wireless communication and embedded system develops,wireless positioning systems are being paid more and more attention to. Compared toother positioning technologies, Radio Frequency Identification (RFID) basedlocalization system is getting more attractive due to its own advantages, such as nocontact, non-line-of-sight nature, promising transmission range and cost-effectiveness.Firstly, the structure and theory of RFID based indoor positioning system areanalyzed and the research productions at home and abroad are summarized. The mosttypical algorithms of2D and3D positioning systems are analyzed, includingLANDMARC, VIRE, SpotON, VLM and Active-Passive. Their performances arecompared according to the simulation results.Secondly, the RFID based indoor3D position with VLM algorithm is researched.The performance of the VLM position system is analyzed when configuring variousGaussian noise, space or range of readers. Two algorithms are proposed according to theprevious researches: SF-VLM and M-VLM. SF-VLM3D scheme improved thetopology of VLM, fixing the localization failure issue due to the indoor blind zoneeffectively, which can achieve100%of indoor coverage. M-VLM3D scheme adds oneor more mobile readers in position system, which increases the constraint condition andresults in higher precise of localization. M-VLM scheme can get higher precision withsacrificing more real-time. Due to its low throughput, M-VLM can work on static orslowly moved targets. Finally, the environment and platform of RFID based3D indoorposition system with VLM algorithm are built and tested with Speedway solutionprovided by the company Impinj. In a6.9m7.5m3.5mindoor space, simulationresult shows RMSE is0.39m, and test result shows RMSE is1.39m.
Keywords/Search Tags:RFID, 3D-Localization, SF-VLM, M-VLM
PDF Full Text Request
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