PROJECT TITLE :

A New Chirp Scaling Algorithm for Highly Squinted Missile-Borne SAR Based on FrFT

ABSTRACT:

Since synthetic aperture technology was utilized in radar Signal Processing, a lot of imaging algorithms have been developed for highly squinted synthetic aperture radar (SAR). But, the high-resolution imaging for highly squinted SAR knowledge remains a troublesome issue thanks to the massive range migration and robust area-variant characteristic. To accommodate for this downside, a replacement fractional chirp scaling algorithm (FrCSA) for highly squinted missile-borne SAR is proposed from high resolution point of view in this paper. The performance of the FrCSA is compared to the classical CSA primarily based on quick Fourier rework (FFT). Simulation and real data results indicate that the FrCSA offers higher focusing capabilities, larger peak sidelobe ratio (PSLR), and integrated sidelobe ratio (ISLR) by appropriately selecting the rotation angles for the vary and azimuth fractional Fourier rework (FrFT).