基于UKF滤波的FDOA和TDOA联合定位跟踪算法  

A Tracking TDOA/FDOA Joint Location Algorithm Based on UKF

作　　者：赵侃 漆德宁 

机构地区：[1]解放军陆军军官学院,安徽合肥230031

出　　处：《计算机技术与发展》2012年第5期127-129,133,共4页Computer Technology and Development

基　　金：安徽省自然科学基金(090412043);中国博士后科学基金(200801493;20080430223)

摘　　要：三星座时差定位是一个非线性估计问题,当辐射源高程所带来的误差无法忽略时,仍然使用基于WGS-84地球模型的时差定位算法对目标进行跟踪定位的方法具有一定的局限性。当数据残缺时,传统的定位算法无法精确估计高程目标位置。为了提高传统的基于三星的时差定位系统的跟踪性能,提出了基于UKF滤波的TDOA/FDOA联合定位算法对单个目标的位置和速度进行估计。仿真结果证明了TDOA/FDOA联合定位算法拥有更好的跟踪性能,以及该算法的稳定性和有效性。To get the position of target by TDOA in three satellites constellation TDOA location system is a nonlinear location problem. The tri-station time difference of arrival （TDOA} location algorithm based on WGS-84 ellipsoid model has some limitations when the altitude of target can not be ignored. A conventional algorithm, target localization through TDOA measurements cannot estimate target po- sition when the number of TDOA measurements are not enough for localization. In order to enhance the performance of conventional satellite target localization based on three satellites systems,propose a target positioning algorithm using TDOA （Time Difference of Arrival ） and FDOA （ Frequency Difference of Arrival ） joint measurements based on unscented Kalman filter for a single target to compute the position and velocity estimates. The simulation results prove the fact that the joint TDOA/FDOA has better location performance, and illustrates the reliability and effectiveness of this new method.

关 键 词：目标跟踪 时差频差 联合定位 无味卡尔曼滤波 

分 类 号：TN96[电子电信—信号与信息处理]