In recent years,Inverse Synthetic Aperture Radar(ISAR)and Synthetic Aperture Radar(SAR)have become important tools for maritime surveillance and real-time reconnaissance of ship targets.These technologies enable the acquisition of highresolution radar images at any time and location,significantly improving the efficiency and accuracy of reconnaissance.Accordingly,this thesis investigates the SAR and ISAR imaging for ship targets,with the following main contributions:1.Analyze the radar scattering characteristics of ship targets.The imaging principle of one-dimensional range profile based on linear frequency modulated signals has been studied,with a focus on the matched filtering and pulse compression principle of the linear frequency modulation signal.2.Investigation of the SAR imaging algorithm for ship targets,including analysis of the SAR imaging resolution,the echo signal model,and the range migration induced during the SAR process.The high-precision time-domain algorithm-BP algorithm is used for data processing based on the airborne SAR model,followed by imaging analysis of the processed echo data.3.Research of the ISAR imaging algorithm for ship targets,specifically analysis of the rotation imaging model for ISAR imaging.The algorithm for large-angle imaging in the ISAR imaging algorithm-CBP algorithm is analyzed and implemented for imaging.To address the issues of high computational complexity and slow operation speed of the conventional CBP algorithm,a novel interpolation method is proposed in this thesis to replace the original interpolation,thereby improving the computational efficiency of the CBP algorithm.4.Development of an imaging software based on the APP Designer of Matlab software to address practical engineering application problems. |