EKF在新的导航系统中的仿真研究  

Simulation study of EKF in new navigation system

作　　者：付承彪[1] 田安红[1] 张桂明[2] 张顺吉[1] 

机构地区：[1]曲靖师范学院信息工程学院,云南曲靖655000 [2]曲靖师范学院科学技术处,云南曲靖655000

出　　处：《重庆邮电大学学报（自然科学版）》2017年第4期454-459,共6页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：云南省科技厅青年项目(2014FD048);云南省教育厅科学研究基金(2016ZDX127)~~

摘　　要：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。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 technolog）, 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 mo-tion model of maneuvering target properties, and then estimates the optimal value by EKF, finally simulates verifies from three aspects dynamic positioning tracking trajectoiy, locate the tracking error, and error cumulative distribution function. The results show that the tracking trajectoiy can be consistent to real trajectoiy. There is veiy little deviation, and errors of line-of-sight environment ai＇e less than non line-of-sight environment, the effect of line-of-sight environment is better.

关 键 词：滤波算法 定位安全 运动模型 新的导航定位系统 

分 类 号：TN96[电子电信—信号与信息处理]