Range Resampling in the Polar Format Algorithm for Spotlight SAR Image Formation Using the Chirp z -Transform
Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation can be normally divided into two cascaded processing stages, which are called the range and azimuth resampling, respectively. This paper focus...
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| Published in | IEEE transactions on signal processing Vol. 55; no. 3; pp. 1011 - 1023 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.03.2007
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-587X 1941-0476 |
| DOI | 10.1109/TSP.2006.887144 |
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| Abstract | Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation can be normally divided into two cascaded processing stages, which are called the range and azimuth resampling, respectively. This paper focuses on a new implementation of the first stage, i.e., the range resampling, using the chirp z-transform (CZT). The presented algorithm requires no interpolation. It works for the SAR system directly digitizing the echo signal, as well as that employing the dechirp-on-receive approach. The parameters of the CZT, including the frequency spacing and the start frequency, are derived to accommodate the PFA in both cases. Related filtering and compensation procedures are developed for the chirp z-transformed range signal with and without dechirp, respectively, in order to achieve a signal format entirely suitable for the azimuth resampling. Furthermore, incorporating the new algorithm with the existing CZT-based azimuth resampling and focusing algorithm, we can achieve a PFA totally free of interpolation. The presented approach has been validated by point target simulation, and the test is carried out with a very critical relative bandwidth of 30% |
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| AbstractList | Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation can be normally divided into two cascaded processing stages, which are called the range and azimuth resampling, respectively. Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation can be normally divided into two cascaded processing stages, which are called the range and azimuth resampling, respectively. This paper focuses on a new implementation of the first stage, i.e., the range resampling, using the chirp z-transform (CZT). The presented algorithm requires no interpolation. It works for the SAR system directly digitizing the echo signal, as well as that employing the dechirp-on-receive approach. The parameters of the CZT, including the frequency spacing and the start frequency, are derived to accommodate the PFA in both cases. Related filtering and compensation procedures are developed for the chirp z-transformed range signal with and without dechirp, respectively, in order to achieve a signal format entirely suitable for the azimuth resampling. Furthermore, incorporating the new algorithm with the existing CZT-based azimuth resampling and focusing algorithm, we can achieve a PFA totally free of interpolation. The presented approach has been validated by point target simulation, and the test is carried out with a very critical relative bandwidth of 30%. |
| Author | Daiyin Zhu Zhaoda Zhu |
| Author_xml | – sequence: 1 givenname: Daiyin surname: Zhu fullname: Zhu, Daiyin – sequence: 2 givenname: Zhaoda surname: Zhu fullname: Zhu, Zhaoda |
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| Cites_doi | 10.1109/7.53462 10.1109/36.158864 10.1109/36.789617 10.1109/7.78293 10.1117/12.177178 10.1109/TAES.1980.308875 10.1109/TAES.1984.4502060 10.1109/36.951090 10.1109/LGRS.2006.882147 10.1109/36.298008 10.1109/29.1609 10.1109/7.328787 10.1109/TAU.1970.1162132 10.1109/IGARSS.1996.516827 10.1109/36.649799 |
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| Keywords | range resampling Multistage method Fourier transformation Filtering Chirp AD conversion Digitizing Two dimensional model Algorithm Implementation Interpolation polar format algorithm Azimuth Simulation Z transformation Imaging Radar imaging Resampling method Synthetic aperture radar Chirp z-transform Cascade connection |
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| References | ref12 ref15 ref20 jokowartz (ref4) 1996 ref10 munson (ref11) 1982 ref21 oppenheim (ref13) 1975 ref2 ref1 ref17 carrara (ref3) 1995 ref18 ref8 ref7 papoulis (ref16) 1962 ref9 ref6 ref5 papoulis (ref19) 1968 burns (ref14) 1994 |
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| SubjectTerms | Algorithms Analog-digital conversion, digital-analog conversion, pcm coding Applied sciences Azimuth Chirp Chirp z -transform Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Focusing Format Fourier transforms Frequency Image processing Information, signal and communications theory Interpolation PFA polar format algorithm range resampling Resampling Signal and communications theory Signal processing Signal, noise Synthetic aperture radar Telecommunications and information theory Testing Two dimensional displays |
| Title | Range Resampling in the Polar Format Algorithm for Spotlight SAR Image Formation Using the Chirp z -Transform |
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