MATLAB Code Implementation for SAR Imaging
SAR Imaging and Jamming Suppression Techniques: RF Signals, Frequency Modulation, Amplitude Modulation, Phase Modulation, and Pulse Processing
Explore MATLAB source code curated for "SAR成像" with clean implementations, documentation, and examples.
SAR Imaging and Jamming Suppression Techniques: RF Signals, Frequency Modulation, Amplitude Modulation, Phase Modulation, and Pulse Processing
The RD algorithm stands as one of the most fundamental correction techniques in SAR imaging, featuring thoroughly commented implementation code with detailed explanations for optimal learning and practical application.
MATLAB source code implementation for ISAR motion compensation and SAR imaging techniques
Airborne radar multi-target imaging algorithm developed based on motion compensation parameters from UAV SAR imaging research, incorporating phase error correction and backprojection techniques for enhanced target resolution
Implementation and Algorithm Analysis of Backprojection (BP) Method in Synthetic Aperture Radar Imaging
MATLAB Simulation Program for Point Target Imaging with SAR CS Algorithm
MATLAB source code for SAR point target imaging simulation. This program generates high-quality images and implements key radar signal processing algorithms including range compression, azimuth processing, and image formation techniques.
Implementation of three core SAR imaging algorithms with a GUI interface for visualizing imaging results, featuring beamforming, backprojection, and stacking methods
This is a wK algorithm implementation for SAR imaging point target simulation, strictly following the wK algorithm described in Ian G. Cumming's "Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation." It serves as an introductory simulation program for students learning the wK algorithm, featuring proper signal processing stages and frequency domain operations.
Basic SAR imaging algorithms implemented in MATLAB, providing fundamental imaging programs that are helpful for beginners learning SAR imaging techniques.