Research On The Vibration Source Location Algorithm Of Moving Vehicles Based On Urban Security

In recent decades,unmanned ground sensor(UGS)system technology based on vibration sensors has been rapidly developed.With the increasing demand for precisely positioning,the application of positioning technology system has gradually extended from the fields of navigation and military to other aspects of society.Domestic research on the unattended ground sensor(UGS)system started relatively late,and the current research hotspots are still mainly concentrated in the military field.And there are few applications for urban security.The positioning of ground moving targets has been extensively studied domestic and foreign counties.Compared with other target positioning algorithms,due to its strong anti-interference ability,high positioning accuracy,good concealment,and low power consumption,the target positioning algorithm based on time delay has become a current hot spot.It is mostly used for target positioning research under complex conditions.The basic principle of the time delay-based target location algorithm is to measure the time delay of the signal through multiple seismometers.Based on the propagation speed of the signal,the azimuth angle of the positioning target can be estimated.Finally,the seismograph array is combined to realize the cross positioning of the moving target.The main research direction of this thesis is the vehicle positioning algorithm based on urban security.This thesis is based on the distributed cableless telemetry seismometer independently developed by the School of Instrument Science and Electrical Engineering of Jilin University which is used to collect the vibration signal of the moving vehicle.The study is mainly about analyzing and summarizing the commonly used positioning algorithm.By improving the traditional positioning algorithm,a Grid Search-Taylor joint positioning algorithm and a Genetic-Taylor joint positioning algorithm suitable for urban security vehicle positioning are proposed to realize the monitoring of important urban areas.The main contents of the thesis are as follows:(1)The goal simulation and analysis process of the time delay algorithm is completed.And the numerical model is finally established to provide a strong theoretical basis for vehicle vibration monitoring.(2)The overall design of the seismic source positioning system has been completed.Based on the distributed cable-free seismograph independently developed by the School of ISEE of Jilin University to collect the vibration of the moving vehicle,a3*3 layout scheme of seismographs has been proposed,which is used in urban security applications.This solution can realize omni-directional monitoring and no blind spots in urban security applications.(3)Based on the research of grid search algorithm and genetic algorithm in machine learning,the Grid Search-Taylor joint positioning algorithm and Genetic-Taylor joint positioning algorithm are proposed,which can improve the accuracy of the positioning algorithm and the efficiency of the algorithm at the same time.The Grid Search-Taylor joint positioning algorithm and the Genetic-Taylor joint positioning algorithm are compared with the traditional time delay algorithm.And the advantages of these two joint positioning algorithms are summarized.(4)Combining the Grid Search-Taylor joint positioning algorithm and Genetic-Taylor joint positioning algorithm proposed in this paper,the actual experiment shows that the method proposed in this thesis is reliable and truly improved the accuracy of the positioning algorithm.At the same time,the computational efficiency of the algorithm has been improved.