Title :
A new chirp scaling algorithm based on the fractional Fourier transform
Author :
Amein, A.S. ; Soraghan, J.J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Strathclyde, Glasgow, UK
Abstract :
The fractional Fourier transform (FrFT), which is a generalized form of the well-known Fourier transform, has only recently started to appear in the field of signal processing. This has opened up the possibility of a new range of potentially promising and useful applications. In this letter, we develop a new FrFT-based chirp scaling algorithm (CSA) and compare its performance with the classical CSA based on the fast Fourier transform (FFT). Simulation results show that the FrFT-based CSA can offer significantly enhanced features compared to the classical FFT-based approach.
Keywords :
Fourier transforms; radar resolution; signal processing; synthetic aperture radar; CSA; FrFT; SAR; chirp scaling algorithm; fractional Fourier transform; signal processing; synthetic aperture radar; Chirp; Fast Fourier transforms; Focusing; Fourier transforms; Interpolation; Kernel; Signal processing; Signal processing algorithms; Signal resolution; Synthetic aperture radar; Chirp; fractional; high resolution; synthetic aperture radar (SAR);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.855547