基于AR模型的反辐射导弹检测算法

ARM detection method based on AR model

根据反辐射导弹(ARM)的特点及其雷达回波信号中速度、加速度等特征,提出了一种新的基于AR模型的ARM检测算法.该方法通过建立二阶AR模型、估计代表不同目标的模型极点并由此估算目标加速度来判断目标性质.该方法不仅可以在雷达已跟踪上ARM载机后采用,而且可以适用于雷达搜索扫描时.仿真结果表明该方法具有分辨率高,对雷达脉冲重复频率PRF及积累脉冲数要求不高的特点,在低的PRF及少的积累脉冲下,利用该方法仍可有效地识别检测出ARM.

Anti-Radiation-Missile (ARM) is a great threat for radar, detecting ARM in time is the precondition of taking other anti-ARM measures. According to the features of ARM and the characteristics of velocity and acceleration in radar echoes, a novel method of ARM detection based on AR model is presented. In this method, a second order AR model is established first, then, the poles of the AR model which represent different type targets are estimated and the acceleration of the targets can be estimated. In this way, the ARM can be detected effectively. This method could be used not only while the ARM carrier has been tracked, but also while the radar is scanning ARM. Even in the case of lower PRF and a few amounts of pulses, it is still very effective.