一种单站无源定位原理与目标跟踪算法研究  

Research on Single Observer Passive Location and Tracking Arithmetic Using DOA and Their Changing Rate Information

作　　者：乔梁[1] 

机构地区：[1]广东金融学院,广东广州510520

出　　处：《上海航天》2007年第1期16-19,共4页Aerospace Shanghai

摘　　要：基于辐射源的信号到达方向(DOA)及其变化率信息,提出了一种对机动目标进行单站无源定位与跟踪的方法。根据建立的目标机动模型和测量方程,分别用扩展卡尔曼滤波(EKF)和修正协方差扩展卡尔曼滤波(MVEKF)算法实现对机动目标的定位与跟踪,并给出了算法模型。仿真结果表明,该法正确有效,定位精度较高、收敛速度快。A single station passive location and tracking method of maneuvring target was put forward based on the direction of arrival and its changing rate for radiator source in this paper. The extended Kalman filter （EKF） and modified covariance extended Kalman filter were used to locate and track the target according to the target maneuvring model and measurement equation. The algorithm models of both EKF and MVEKF were presented. The simulation results showed that this method was correct and effective, which had high location accuracy and fast convergence speed.

关 键 词：单站无源定位 方位角 俯仰角 方位角变化率 俯仰角变化率 扩展卡尔曼滤波 修正协方差扩展 卡尔曼滤波 

分 类 号：TN95[电子电信—信号与信息处理]