Keystone Transform Based UAV Detection by Utilizing MillimeterWave Radar

Due to the small radar cross section (RCS), the detection of unmanned aerial vehicles (UAVs) is a challenge task for traditional surveillance radar. In this paper, a linear frequency modulation continuous wave (FMCW) millimeter-wave radar is presented for UAV detection and a keystone transform (KT) based long-time coherent integration method is employed for the sake of improving the output signal-to-noise ratio, which is essential for UAV detection. Specifically, the KT is first utilized to correct the range migration induced by the movement of UAV. Then, the two dimensional fast Fourier transform (2D-FFT) along the fast time and slow time directions is addressed to realize the long-time coherent integration. After that, the constant false alarm rate (CFAR) detection is used to achieve the UAV detection. Finally, the simulation results are given to verify the effectiveness of the proposed method.