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Research On The Method Of Tracking And Locating Underground Moving Targets

Posted on:2023-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:X F YouFull Text:PDF
GTID:2531307031458014Subject:Control engineering
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The underground environment of coal mines is complex,there are many hidden dangers in the mining process;tracking and locating underground moving objects is critical.The application of wireless sensor network to coal mine safety monitoring has become an important research.Analyzed the location technology and ranging and nonranging algorithm in wireless sensor networks.Regardless of the influence of wireless positioning technology on the accuracy of the positioning system,the rssi signal transmission model and DV-Hop were integrated for target positioning.Analyzed the underground roadway environment,collected the rssi wireless signal in the roadway space,used the Kalman filter to remove the rssi singular value.Analyzed the shadow shielding model followed by the underground wireless signal propagation,fitted the path attenuation factor and environmental parameters with the least square method,and got the signal transmission model in the roadway.Errors in the calculation of node hops between nodes and the average hop distance in the DV-Hop;combined with piecewise ranging model,utilized the signal strength between nodes to the signal strength at the communication radius,to divide the node hops.On this basis,the average hop distance of the anchor node is calculated.Combined with the actual underground space node distribution and anchor node deployment,experiments have proved the superiority of the improved algorithm.In order to solve the error accumulation phenomenon of the DV-Hop algorithm in the target positioning stage,located the target node with the bat algorithm in the third stage of the DV-Hop,and the bat looked for the best location as the target node coordinates.In the optimization process of the bat algorithm,the Levy flight strategy was integrated to update the bat position to further improve the global optimization ability of the bat algorithm.DV-Hop localization method fusion signal transmission model and bat algorithm,significantly improved the positioning accuracy of underground moving target,and provided the theoretical basis for the downhole positioning technology.Figure 34;Table 7;Reference 62.
Keywords/Search Tags:moving target, wireless sensor network, shadow model, DV-Hop, bat algorithm
PDF Full Text Request
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