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Research On TDOA Location Algorithm For Ultra-wideband Precision Real-Time Location System

Posted on:2020-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Z H ZhuFull Text:PDF
GTID:2428330575958964Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the introduction of Industry 4.0,the demand for precise positioning of people,goods,equipment,etc.in various industries is constantly increasing.In the face of increasingly saturated spectrum resources,UWB indoor positioning technology quickly stands out among many indoor positioning technologies due to its own characteristics.At present,how to reduce the ultra-wideband indoor positioning error has become a key issue that must be solved in the entire ultra-wideband positioning system.The UWB TDOA positioning algorithm is a commonly used algorithm for UWB technology because of its simple mathematical model and relatively small amount of data computation.Based on the TDOA location algorithm,this paper focuses on the wireless clock synchronization algorithm and the UWB indoor positioning network extension with the Hainan EVK RTLS 3.0 hardware platform as an auxiliary method.In terms of wireless clock synchronization algorithm,a wireless clock synchronization algorithm combined with neural network is proposed for the defects of traditional TPSN protocol.Compared with the traditional TPSN protocol,the proposed algorithm fully considers the influence of relative drift.By repeatedly learning the learning samples,the influence of random delay on clock synchronization accuracy is reduced.In order to prevent the local minimum value from falling,and never converge,a method of online self-regulation of learning rate is proposed to effectively enhance the stability of the BP neural network model,thereby improving the performance of the proposed algorithm and effectively reducing the clock synchronization error.In terms of UWB indoor positioning network expansion,the feasibility of UWB indoor positioning system network expansion is verified on the basis of single-cell scenarios for different application sites.The measured results show that the indoor positioning accuracy of different sub-areas can meet the centimeter-level positioning requirements of UWB positioning technology,and the performance of UWB indoor positioning system is improved relative to a single area.
Keywords/Search Tags:UWB, TDOA location algorithm, wireless clock synchronization protocol, network extension, neural network
PDF Full Text Request
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