Distributed Synthetic Aperture Radar Imaging Simulation

In this document, we discuss distributed synthetic aperture radar imaging simulation with pixel-level registration. Distributed Synthetic Aperture Radar (DSAR) is an advanced radar imaging technique that utilizes multiple radar sensors distributed across different locations for data collection, followed by synthetic processing to generate high-resolution radar images. Compared to traditional Synthetic Aperture Radar (SAR), DSAR offers greater flexibility and superior imaging performance. Pixel-level registration serves as a critical step to ensure accurate alignment of generated radar images, eliminating offsets caused by factors such as sensor positioning errors or inaccurate motion estimation. This process typically involves implementing algorithms like phase correlation or feature-based matching in code, where key functions calculate spatial transformations between image pairs. In this paper, we provide detailed explanations of the principles and methods for DSAR imaging simulation, with focused discussion on the application and optimization strategies of pixel-level registration techniques, including MATLAB implementation approaches for coordinate transformation matrices and interpolation methods.