机载单站对运动目标无源定位跟踪算法

针对无源定位系统中，机载单站相对于运动辐射源目标作为状态模型，在测方位角及其变化率基础上，引入多普勒频率变化率参数构建观测模型。常用的扩展卡尔曼滤波（EKF）存在不稳定和精度低的问题，采用修正增益的扩展卡尔曼滤波算法（MGEKF），找出修正函数矩阵，实现定位状态滤波估计。仿真结果表明，MGEKF算法较之EKF算法有较高的定位精度和较快的收敛速度。

Tracking Algorithm of Airborne Single Observer to Moving Target Passive Location

In passive location system, the state model was set up as a airborne single observer moving emitter. The observa-tion model was formed on the base of measuring azimuth angle and its changing rate, and the parameter of Doppler frequen-cy changing rate was introduced. On counter of the instability and low precision in the passive location system with the fre-quently-used“Extended Kalman Filter”（EKF）,“modified function matrix”was calculated, and“Modified Gain EKF”（MGEKF）was adopted. The result of simulation indicated that its precision was higher and its convergence speed was fast-er.