基于频域遮隔及分数阶相关的反辐射导弹检测技术

该文提出一种基于频域遮隔及分数阶相关来检测反辐射导弹(ARM)的新方法。该方法利用雷达回波的频域(Fourier变换)数据，根据尖锋作遮隔处理后，直接运用基于分数阶Fourier变换(FrFT)和Fourier逆变换的分数阶相关方法，通过一维搜索来检测ARM。由于该方法利用了现有的Fourier数据，且分数阶Fourier变换可以通过Fourier变换实现，无需多通道相位补偿和二维搜索，故计算量小。仿真结果表明，该方法能够在ARM信噪比低达#61485;10dB，ARM与载机回波功率比为#61485;27dB的情况下，准确地检测出ARM，从而实现ARM发射的早期告警。

ARM Detection Based on Frequency Domain Masking and Fractional Correlation

A new method based on frequency domain masking and fractional correlation is presented for Anti Radio Missile (ARM) detection. The method adopts the frequency domain masking technique to mask the peak fields of the radar echos’ Fourier transform data, and uses the fractional correlation comprising of Fractional Fourier Transform (FrFT) and inverse Fourier transform to detect the ARM only in one-dimensional searching. As the FrFT can be implemented via fast Fourier transform, and the multichannel phase compensation and two-dimensional search are no longer needed, the computation is greatly reduced. Simulation results show that an accurate detection is achieved in a &;#61485;10dB ARM signal to noise ration, which implies a reliable early warning of ARM launching.