对运动目标多站时差定位和被动跟踪方法  

Passive location and track of moving target in TDOA

作　　者：张新华[1] 刘又铭[2] 冯奇[2] 张海波[2] 李廷军[2] 

机构地区：[1]烟台职业学院基础部,山东烟台264001 [2]海军航空工程学院电子信息工程系,山东烟台264001

出　　处：《海军工程大学学报》2016年第4期7-10,共4页Journal of Naval University of Engineering

基　　金：国家自然科学基金资助项目(61471383)

摘　　要：针对对运动目标的被动定位跟踪问题,建立了对运动辐射源多站时差定位及被动跟踪的数学模型,研究了基于扩展卡尔曼滤波(extended Kalman filter,EKF)的被动跟踪算法。首先,对运动目标建立了二阶常速运动模型,利用实时的时差定位结果和误差协方差矩阵作为扩展卡尔曼滤波的初始值和初始协方差进行被动跟踪;然后,进行了对运动目标定位跟踪的场景仿真,结果表明:扩展卡尔曼滤波实现了对时差定位实时结果平滑作用,使用该方法定位精度大大提高,目标轨迹更明显;最后,通过工程试验验证了该算法的有效性。For the geolocation and track of moving researches the passive track algorithm based on the target, this paper builds the mathematical model, extended kalman filter. Firstly the constant veloei- ty moving model for the target is built, and the temporary estimations of the target to track algorithm are applied. Then the simulation of the location scene is done, which shows that the location precision is improved obviously; the trace of the target is clearer through the EKF algorithm. Finally an experi- ment is done to test and verify the availability of this passive track algorithm.

关 键 词：无源定位 时差 被动跟踪 扩展卡尔曼滤波 

分 类 号：TN97[电子电信—信号与信息处理]