一种改进的AR模型反辐射导弹检测算法

An ARM Detection Algorithm Based on an Improved AR Model

反辐射导弹(ARM)具有多普勒频率时变特征,其回波信号的传统功率谱为一宽带频谱,不利于对其进行检测。针对这种情况,提出一种改进的AR模型检测算法,该算法将分数阶相关理论引入到AR模型功率谱估计中,把传统的功率谱转变为分数阶谱,使ARM回波信号能量得到聚集,从而实现ARM的有效检测。仿真结果表明,该方法能够在ARM信噪比低达-16dB的情况下,准确将ARM检测出来,实现实时告警。

A new method for Anti-Radiation Missile（ARM） detection based on an improved AR model is presented in this paper. The theory of fractional correlation is used in AR model power spectrum estimation in this method to turn the traditional power spectrum into fractional spectrum, so the energy of ARM signal is assembled, making the effective detection of ARM signal possible. Simulation results show that an accurate detection can be achieved in the SNRARM as low as - 16 dB, so that a reliable early warning of ARM launching can be given.