Near Field Synthetic Aperture Radar

Near-field synthetic aperture radar (SAR) aims to create high-resolution images from radar signals collected in close proximity to the target, offering advantages in various applications like security screening and medical imaging. Current research heavily emphasizes improving image quality and computational efficiency, particularly for scenarios with irregular scanning geometries (e.g., handheld devices, UAVs) using advanced algorithms like convolutional neural networks (CNNs) and vision transformers (ViTs) for super-resolution and efficient image reconstruction. These advancements are crucial for enabling wider adoption of near-field SAR in resource-constrained environments and expanding its applicability across diverse fields.