摘要
长期潜伏水下,深度已知的水下固定单站实现水上舰船目标的航迹跟踪的常用手段是将离散的测量方位点逐点连接,这种方法虽然简单但是很不精确,而且无法可靠地估计目标的运动速度;提出在这种情形下用纯方位目标运动分析方法(TMA)实现水面舰船目标的航迹跟踪和状态估计,文中以无源声呐关于目标方位(方位角和俯仰角)的有噪测量为依据,通过建立系统的状态方程和测量方程,利用三种扩展卡尔曼滤波(EKF,MGEKF,MVEKF)方法分别对此系统的TMA问题进行了研究;计算机仿真证明了上述算法的有效性,文中提出的方法要求简单,精度较高,在实现目标跟踪的基础上还能改善系统的目标方位估计精度。
The problem of trajectories estimation of surface ship targets based on an underwater immovable observer whose depth is al ready known, was traditionally solved by connecting the discrete dots of target position. This method can not estimate the trajectory in high precision and can not reliably estimate the velocity of the target. We propose that this problem can be solved by target motion analysis using bearings measured by the observer. First the trajectory of the target is estimated by using EKF, MGEKF and MVEKF. Then the computer simulation results show that TMA proposed here is a high precision tracking method and it also can decrease the direction estimation error of this system.
出处
《计算机测量与控制》
CSCD
北大核心
2011年第2期429-431,共3页
Computer Measurement &Control
基金
国防科技预研基金资助项目(51405020304HK0354)
关键词
无源定位
目标运动分析
卡尔曼滤波
航迹跟踪
passive localization
target motion analysis
kalman filter
trajectory estimation
