Extended Chirp Scaling Algorithm for Synthetic Aperture Radar

This paper discusses Synthetic Aperture Radar (SAR) and the Extended Chirp Scaling (CS) Algorithm. These technologies have been widely adopted in radar imaging applications, significantly improving image quality and accuracy. The Extended CS Algorithm offers superior practicality and effectiveness over traditional CS methods by implementing advanced phase compensation techniques and optimized interpolation schemes. It demonstrates enhanced capability in handling noisy environments and incomplete sampling data through robust signal processing routines, while maintaining lower computational complexity with efficient FFT-based operations. The algorithm achieves higher reconstruction accuracy by incorporating adaptive filtering mechanisms and precision phase preservation functions. Consequently, these technologies present broad application prospects in radar imaging domains and provide substantial support for interdisciplinary research, particularly in implementations requiring real-time processing and high-resolution image reconstruction.