NDLI: Far-field limit of PFA for SAR moving target imaging

Content Provider	IEEE Xplore Digital Library
Author	Daiyin Zhu Xinhua Mao Yong Li
Copyright Year	2009
Description	Author affiliation: Department of Electronic Engineering, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, China (Daiyin Zhu; Xinhua Mao; Yong Li)
Abstract	In this paper, a new derivation of the polar format algorithm (PFA) for spotlight synthetic aperture radar (SAR) imaging is presented, which is useful when investigating its response to the moving target. Our derivation starts with examining the mostly adopted implementation of the PFA, i.e., the separable 1-D range and azimuth resampling procedures for their roles in range cell migration (RCM) correction, respectively. It is shown that the former performs RCM pre-deformation, while the latter is substantially the combination of RCM linearization and the keystone transform (KT), i.e., a well-known technique for SAR imaging of moving targets. The new formulation approach is applied to analyze the moving target. The far-field limit of the PFA for moving target focusing is derived, which can be used to predict the target's impulse response function (IRF). The presented work might be helpful when considering a SAR system with the capability of ground moving target indication and imaging (GMTI&Im).
Starting Page	214
Ending Page	218
File Size	96202
Page Count	5
File Format	PDF
ISBN	9781424427314
DOI	10.1109/APSAR.2009.5374237
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fourier transforms Radar polarimetry Derivation of polar format algorithm Geometry Reflectivity Interpolation Azimuth Layout Focusing far-field limit of SAR moving target focusing Radar imaging range cell migration correction ground moving target indication and imaging Synthetic aperture radar keystone transform
Content Type	Text
Resource Type	Article

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