ARM Detection Based on Frequency Domain Masking and Fractional Correlation
基于频域遮隔及分数阶相关的反辐射导弹检测技术

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.