一种改进的单站无源定位与跟踪算法

Modified Algorithm of Passive Location and Tracking

无源定位与跟踪技术有着广阔的应用前景。对于机动干扰源单站无源定位与跟踪 ,直角坐标系下一阶卡尔曼滤波算法容易发散 ,二阶卡尔曼滤波算法运算量大。针对这一不足 ,本文提出了在极坐标下建立状态方程和观测方程的卡尔曼滤波进行干扰源单站无源定位与跟踪。仿真实验结果表明了该算法的有效性。

Technology of passive location and tracking has expansive prospects for application. For passive location and tracking of maneuvering jamming source by single observer, the oneDENG Xiaoming,XU Yu (Air Force Radar Academy, Wuhan,430019,China)$$$$Abstract:Technology of passive location and tracking has expansive prospects for application. For passive location and tracking of maneuvering jamming source by single observer, the oneorder Kalman filter in rectangular coordinates is apt to diverge and the computation of the twoorder Kalman filter is too complex. In view of those disadvantages, a Kalman filter in polar coordinates is presented, which realizes the passive location and tracking by founding the state equation and observation equation. The simulations have shown the method was effective.