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

Since synthetic aperture technology was employed in radar signal processing, a lot of imaging algorithms have been developed for highly squinted synthetic aperture radar (SAR). However, the high-resolution imaging for highly squinted SAR data is still a difficult issue due to the large range migrati...

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Vydáno v:IEEE journal of selected topics in applied earth observations and remote sensing Ročník 8; číslo 8; s. 3977 - 3987
Hlavní autoři: Chen, Si, Zhang, Shuning, Zhao, Huichang, Chen, Yong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.08.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Azimuth
Chirp
Computer simulation
Focusing
Fourier transforms
Fractional chirp scaling algorithm (FrCSA)
Frequency-domain analysis
high resolution
high squint
Imaging
Migration
missile borne
Missiles
Radar
Sidelobes
Signal processing algorithms
Synthetic aperture radar
synthetic aperture radar (SAR)
high squint
missile borne
synthetic aperture radar (SAR)
Fractional chirp scaling algorithm (FrCSA)
high resolution
ISSN:1939-1404, 2151-1535
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Popis
Shrnutí:Since synthetic aperture technology was employed in radar signal processing, a lot of imaging algorithms have been developed for highly squinted synthetic aperture radar (SAR). However, the high-resolution imaging for highly squinted SAR data is still a difficult issue due to the large range migration and strong space-variant characteristic. To accommodate for this problem, a new 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 based on fast Fourier transform (FFT). Simulation and real data results indicate that the FrCSA offers better focusing capabilities, greater peak sidelobe ratio (PSLR), and integrated sidelobe ratio (ISLR) by appropriately choosing the rotation angles for the range and azimuth fractional Fourier transform (FrFT).
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ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2014.2360192