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 inIEEE transactions on signal processing Vol. 55; no. 3; pp. 1011 - 1023
Main Authors Zhu, Daiyin, Zhu, Zhaoda
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.03.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1053-587X
1941-0476
DOI10.1109/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%
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
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Issue 3
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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Snippet Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation...
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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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