基于卡尔曼滤波的三星时差运动目标定位技术  

Tri-satellite Differential Time Offset Location Technology for Moving Target Based on Kalman Filter

作　　者：陈曦[1,2] 彭华峰[2] 同武勤[2] 

机构地区：[1]信息工程大学信息工程学院,郑州450002 [2]西南电子电信技术研究所,成都610041

出　　处：《电讯技术》2011年第5期77-81,共5页Telecommunication Engineering

摘　　要：针对三星时差无源定位体制的特点,研究空中运动目标辐射源定位技术。在匀速直线运动目标模型下,通过改变地球方程参数,利用牛顿迭代算法给出目标的瞬时初始定位点,并在此基础上利用不敏卡尔曼滤波对运动目标进行跟踪定位。仿真验证表明,利用三星时差测量体制和相关滤波算法,可以有效实现空中运动目标的跟踪定位,精度优于5 km;同时在精确初始值的引导下,滤波算法收敛速度更快,定位精度更高,航迹更为连续。Based on the passive location system of Tri - satellite DTO（Differential Time Offset）, the emitter location technology for air moving target is researched in this paper. Under the constant velocity（CV） model, after changing the parameters of earth equation, the Newton iterative method is used to give the immediate location point. Based on the original result, the unscented Kalman filter（UKF） algorithm is proposed to solve the problem about moving target tracking and location. The simulation result shows the tri - satellite DTO and relative filter algorithm are effective for the air moving target tracking and location , and the precision is much better than 5km. Under the support of original location result, the filter algorithm is better in convergence rate, location precision and continuity trajectory than the traditional methods.

关 键 词：无源定位 三星时差 运动目标跟踪 卡尔曼滤波 

分 类 号：TN911.72[电子电信—通信与信息系统]