EKF在新的导航系统中的仿真研究

针对全球定位系统(global positioning system, GPS)的应用受限于美国,涉及隐私和安全等问题给出一种新的组合导航定位系统方案,该方案充分利用中国自主的研发技术,消除对GPS定位技术的依赖.为了验证该方案的可行性,进一步研究扩展卡尔曼滤波算法(extended Kalman filter, EKF)在BDS和DTMB定位系统中的应用.给出机动目标特性的运动模型,利用EKF进行最优估计,最后从动态定位跟踪轨迹、定位跟踪误差、和误差累积分布函数3个方面进行仿真验证.仿真结果表明,跟踪轨迹能够基本吻合于真实轨迹,偏差较少,且因视距中的误差小于非视距,视距环境中的效果更优.

Simulation study of EKF in new navigation system

In view that GPS(global positioning system) is limited by the United States, which involves privacy and security issues, paper gives a new location system based on BDS(BeiDou navigation satellite system) and DTMB(digital television multimedia broadcasting), those make full use of the technology of China based on independent research and development, and eliminate the reliance on GPS positioning.In order to verify the feasibility of new navigation system, this paper further research on the EKF(extended Kalman filter) algorithm based on BDS and DTMB.Firstly, the present study gives the motion model of maneuvering target properties, and then estimates the optimal value by EKF, finally simulates verifies from three aspects: dynamic positioning tracking trajectory, locate the tracking error, and error cumulative distribution function.The results show that the tracking trajectory can be consistent to real trajectory.There is very little deviation, and errors of line-of-sight environment are less than non line-of-sight environment, the effect of line-of-sight environment is better.