利用相位差变化率的机载无源定位跟踪算法

Airborne Passive Location and Tracking Algorithm Based on Phase Difference Rate of Change

为解决机载无源定位中高精度角速度参数难以获取的问题,利用相位差变化率对角速度的放大作用,通过二维相位干涉仪布局建立一种新的无源定位观测模型,实现了对空中目标的定位。针对UKF滤波中误差协方差矩阵负定导致滤波不稳定的问题,引入平方根UKF进行跟踪滤波。仿真表明:在较低的参数测量精度条件下,新观测模型位置和速度跟踪误差降低,采用平方根UKF能够获得稳定的跟踪效果。

In order to solve the problem of difficult acquisition of high precision angular velocity parameter in airborne passive location, the phase difference rate-of-change＇ s augmentation for angular velocity was used, and a new passive location measurement model was built by two - dimensional phase interferometer layout. The passive location of air target was realized. In view of negative error covarianee matrix possibly inducing instability in the UKF filter, the square root UKF was introduced. The simulation shows that the position and velocity tracking error of the new measurement model deereas under the worse condition of parameters measurement. The stable tracking effect can be reached by adopting square root UKF.