摘要
单站无源定位是电子战中的一项重要技术。采用基于到达方向(DOA)和到达时间差(TOA)测量信息,可以实现固定观测站对运动辐射源的无源定位和跟踪。讨论了扩展卡尔曼滤波(EKF)及其改进形式修正协方差的扩展卡尔曼滤波(MVEKF)2种算法的原理,指出了应用场合和适用条件,并运用EKF和MVEKF对无源定位进行滤波估计。通过仿真,说明了2种算法的有效性,并验证了MVEKF对定位性能的改善。
Passive location realized by single observer is an important technology in electronic war. The locating and tracking a moving emitter can be realized by a fixed observer based on the measurement of the direction of arrival （DOA） and the time of arrival （TOA）. The principle of the two algorithms is discussed which is the extended Kalman filter （EKF） and the improved form of its modified variance extended Kalman filter （MVEKF） , The situation and the condition of its application are indicated, and the passive location is estimated with EKF and MVEKF. Simulation shows the validity of the two algorithms and validates that the property of passive location and tracking is improved by MVEKF.
出处
《现代防御技术》
北大核心
2011年第4期129-132,共4页
Modern Defence Technology
关键词
扩展卡尔曼滤波
修正协方差的卡尔曼滤波
无源定位
仿真
extended Kalman filter（EKF）
modified covariance extended Kalman filter（MVEKF）
passive location
simulation
