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Research On Aircraft Location And Trajectory Tracking Based On Seismic Signals

Posted on:2018-09-07Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhaoFull Text:PDF
GTID:2322330533960198Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
With the rapid growth of the domestic large and medium-sized airport throughput,average daily aircraft sorties continuously jump high.Due to the impact of heavy landing or heavy-duty aircraft on the road surface,it will cause damage to the pavement structure and make tire's glue remain on the airstrip.In order to determine the damaged area and then complete the pavement repair and degumming,we need to track the movement of the aircraft in the early stage.This paper studies the aircraft positioning and trajectory tracking method based on the seismic signal.It will provide a reference and help for the airport runway operation and maintenance.It will inevitably produce seismic wave because of the pavement roughness and aircraft takeoff and landing impact.This paper firstly introduces the composition and characteristics of seismic waves,and selects the Rayleigh wave component as the acquisition signal.Then it discusses the airport pavement structure and parameter,also proposes experimental assumptions,which provides the theoretical and experimental basis for the later.Secondly,this paper analyzes the principle of localization,the time delay estimation method and the detection sensor configuration model.After that it shows the model error through the theoretical calculation and experimental results.So,this paper decides to choose the TDOA location principle,regular triangular arrangement model and basic cross-correlation technique as the method of pavement positioning.At the same time,combined with the traditional Taylor positioning algorithm and sensor arrangement model,this paper proposes a combinatorial Taylor algorithm,which improves the positioning accuracy to a certain extent.In view of the collected seismic signal under lower signal to noise ratio and aircraft sliding simulation experiment seismic signal to carry on the empirical mode decomposition for extracting the characteristic signal.The paper analyzes the acquisition signal's boundary effect and modal aliasing phenomenon.By extracting the IMF component reconstructed signal,contrast original signals,it mainly achieves the goal of noise reduction.Finally,based on the estimation of the aircraft on the runway locating point and compared of various filtering algorithms,the Kalman filter tracking algorithm is used to simulate the trajectory tracking curve of aircraft.Compared with the locating point,not only the positioning error is further reduced,but also improve the tracking accuracy.The research,using the airport road surface seismic signal to complete the target location and track tracking,providing preliminary statistics for the airport in the runway management and maintenance,has a certain degree of practical significance.
Keywords/Search Tags:seismic signal, sensor configuration, Taylor algorithm, empirical mode decomposition, Kalman filter algorithm
PDF Full Text Request
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