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The Research On MRLL Navigation And Positioning Algorithm And The Key Technologies Of Space-time Interlinked Communicaton

Posted on:2019-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:Z D WangFull Text:PDF
GTID:2428330545955361Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
The rapid development of information and network technology has made big data,cloud computing,the Internet of things,and artificial intelligence hot topics in the current academic and industrial research fields,of which accurate location information acquisition is the basis for the wide application of these technologies.The acquisition of specific location information is inseparable from the mobile object location technology,and improving the positioning quality and controlling the cost is the trend of mobile object positioning in the future.At present,researchers have conducted very in-depth research on the mobile objects positioning technology,and have also had very successful application cases in many industries such as unmanned driving,intelligent transportation,and bicycle sharing.However,high-precision positioning in complex environments is still an urgent problem.In this thesis,on the basis of detailed study of the currently applied mobile object location technology,we found that the existing technology has the problems of low positioning accuracy,no positioning data in the occlusion area,no support for simultaneous feeding back mass moving objects location data.Therefor,this thesis proposes a mobile real-time lane level(MRLL)navigation positioning algorithm based on Beidou and a breakpoint continuous transmission algorithm in complex communication environment,and designs a high concurrency heterogeneous network that meet the requirement of a large amount of users.Based on this,the mobile object positioning experiment platform was designed and different scene experiments were conducted.The experiments were carried out from the aspects of mobile positioning stability,mobile positioning accuracy,performance of traffic conditions in complex environments,and continuity of data transmission.The experimental results show that the improved mobile object location technology in this thesis achieved lane-level positioning in a complex environment.Even if there is no satellite signal coverage area,the continuity of location trajectory also can be ensured through subsequent breakpoints continuous transmission of data.At the same time,to verify the system stability,corresponding stress test on the database server was executed.The results show that the high-concurrency heterogeneous network framework proposed in this thesis has the ability to withstand up to 10,000-level concurrent links.
Keywords/Search Tags:Moving Object Location, MRLL Navigation and Positioning Algorithm, Broken-point Continuingly-transferring Algorithm, High-concurrency Heterogeneous Network Architecture
PDF Full Text Request
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