Inverse Synthetic Aperture Radar MATLAB Simulation

In this documentation, I will discuss the MATLAB simulation of Inverse Synthetic Aperture Radar (ISAR). The simulation includes three compact programs that implement envelope compensation, phase compensation, and range-azimuth imaging algorithms. ISAR is a sophisticated technique for obtaining high-resolution radar images of moving targets. Through these MATLAB simulations, we can better understand the working principles of compensation and imaging processes. The envelope compensation program typically handles motion-induced signal distortions using interpolation or Fourier-based methods. The phase compensation module employs autofocus algorithms like Phase Gradient Autofocus (PGA) to correct phase errors. The imaging program implements Range-Doppler algorithms for transforming radar echoes into 2D spatial images. This simulation framework helps optimize and improve ISAR performance in practical applications by providing insights into algorithmic implementations and parameter tuning.