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 paper we apply the new FrFT-based Chirp Scaling Algorithm (CSA) to a high resolution-high focused Synthetic Aperture Radar (SAR) imaging 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.
Original language | English |
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Pages | 2616-2619 |
Number of pages | 4 |
DOIs | |
Publication status | Published - May 2006 |
Event | 31st IEEE International Conference on Acoustics, Speech and Signal Processing - Toulouse, France Duration: 14 May 2006 → 19 May 2006 |
Conference
Conference | 31st IEEE International Conference on Acoustics, Speech and Signal Processing |
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Country/Territory | France |
City | Toulouse |
Period | 14/05/06 → 19/05/06 |
Keywords
- fourier-transform
- representation
- high resolution
- high focused
- squint-mode
- radar imaging
- fractional
- chirp scaling algorithm