基于推广卡尔曼滤波的无源定位系统仿真

Simulation of Passive Location System Based on Extend Kalman Filtering

在现代电子战、信息战环境中,由于利用目标辐射电磁信息的无源探测定位系统具有自身隐蔽和探测距离远等优点,因此它具有重要的应用价值,并已成为当今非线性跟踪与估计研究领域的热点问题.针对无源定位中状态空间模型非线性和程度较高所引起的滤波发散问题,分析总结了推广卡尔曼滤波(EKF)次优递推滤波过程,最后给出滤波方程及仿真结果.

Passive location system,which uses electromagnetic wave emitted by target,has proved its merits of self-hiding and far-distance detecting in modern electronic and information warfare,and is now the hotspot in the field of non-linear tracking and estimation.For large errors introduced by nonlinear state-space model in passive location problem,the extend Kalman filtering algorithm is aralized and summarized.Simulation results indicate that the method has good convergent rate and accuracy.