DTV-GPS技术对边缘地带运动目标的定位跟踪研究

针对边缘地带GPS信号存在盲区而难以准确定位的问题,本文首先采用DTV-GPS混合定位技术来获取目标的位置,然后再设定一种U型山路的机动模型,并利用Kalman滤波算法对该运动目标轨迹进行定位跟踪,最后采用Monte-Carlo方法进行仿真研究。仿真结果表明,Kalman滤波后的轨迹接近真实运动轨迹,误差在10 m左右,符合定位精度标准,从而验证了所设定的轨迹模型与实际场景吻合,同时算法易理解,且仿真滤波过程稳定,具有较快的收敛速度和较高的定位精度,提高了机动目标跟踪的精度和系统的实时性。

Application of Position Tracking Based on Fringes of DTV-GPS Positioning

In allusion to the accuracy problem of the fringes positioning where GPS satellites are blocked,this paper uses the positioning technology of DTV-GPS to obtain the location of the target,firstly.Then,this paper assumes a maneuver target model of U-shaped mountain road,and the Kalman filter algorithm is used to track positioning target,finally,the Monte-Carlo method is adopted to carry out the simulate research.The simulation results show that the estimate trajectory is close to the real trajectory,and the error about 10 m,in line with the standards of the positioning accuracy,also the model is in line with the actual scene.The algorithm is to use and stable and has rapid convergence rate and high positioning accuracy to improve the accuracy of the mobile target tracking and real-time system.