Explore MATLAB source code curated for "RD算法" with clean implementations, documentation, and examples.
This program collection contains classic radar SAR image algorithms including wavenumber domain algorithm, Range-Doppler (RD) algorithm, and Chirp Scaling (CS) algorithm, providing excellent resources for learning SAR imaging with practical code implementations and parameter customization options.
Implementation and analysis of CS and RD algorithms for Synthetic Aperture Radar (SAR) imaging
Comprehensive SAR image formation simulation including Range Doppler (RD) algorithm, Chirp Scaling (CS) algorithm, Range Migration Algorithm (RMA/RDM), with sinc interpolation for range cell migration correction.
SAR imaging processing extracts the 2D distribution of scattering coefficients from echo data, which is fundamentally a 2D correlation process. While the most direct approach involves 2D matched filtering, its computational intensity combined with SAR's inherently high data rate makes real-time processing challenging. The standard solution decomposes the 2D process into separate range and azimuth 1D processing chains using the Range-Doppler Algorithm (RD Algorithm), which significantly reduces computational complexity through sequential filtering operations in frequency domains.
Implementation of SAR Imaging Using Range Doppler Algorithm with Code Integration
RD Algorithm - A classical routing decision methodology with detailed implementation insights