Radar High-Speed Target Coherent Detection Method based on Modified Radon Inverse Fourier Transform
Kai Xiong, Guanghui Zhao, Guangming Shi
Abstract
Within the long-time coherent integration (CI) in radar detection, the range walk effect inevitably impacts high-speed targets, which makes coherent detection methods invalid. To address this problem, a coherent detection method, a modified Radon inverse Fourier transform (MRIFT), was developed in this study. The MRIFT can estimate velocity via single parameter searching and achieve the target's CI in the two-dimensional frequency domain using the inverse Fourier transform. Compared with the traditional coherent detection methods, the MRIFT achieved great detection performance and range and velocity estimation performance and averted the blind speed side lobe effect at a lower computational cost. Simulations demonstrate the effectiveness and efficiency of the proposed MRIFT.