Replacing the pulse compressing by FRFT on imaging processing with real raw data of SAR

Abstract

Fractional Fourier Transform (FRFT) has been widely used in chirp signal processing. This paper is based on the former research work and realized a FRFT application on the imaging processing with real raw data of Synthetic Aperture Radar (SAR.) It connected the fast discrete computation of FRFT and explained the principle of pulse compression in FRFT processing. Comparing with the classical pulse compression, FRFT has the similar processing expect a different modulation window, which brings equivalent performance in Signal to Noise Ratio (SNR) and lower sidelobe. Then a linear low pass filter was designed to utilize this character and restrain the great shading effect. This easy but effective method managed to replace the range pulse compression processing by FRFT, which was proved by the result with real raw data.