ISAR Imaging Program with Four Scattering Points Simulation

This article presents an ISAR (Inverse Synthetic Aperture Radar) imaging program designed to simulate the imaging process of rotating targets containing four distinct scattering points. The implementation employs the dechirp (dechirping) method for signal processing. The program workflow involves: first, simulating the rotational scanning of the target to collect raw radar echoes; then applying dechirp processing to compress the frequency-modulated signals and extract phase histories. Key algorithmic components include range compression through Fourier transforms and cross-range focusing via polar format interpolation. The final output generates high-resolution 2D ISAR images showcasing the spatial distribution of scattering centers. This simulation provides valuable insights into rotational target imaging principles, serving as both an educational tool and reference for radar imaging research and applications. The MATLAB-based implementation features modular functions for signal generation, motion compensation, and image formation, allowing researchers to modify parameters like rotation rate and scattering point configurations.