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Bayesian Inverse Synthetic Aperture Radar Imaging
IEEE Geoscience and Remote Sensing Letters, 2011In this letter, a novel algorithm of inverse synthetic aperture radar (ISAR) imaging based on Bayesian estimation is proposed, wherein the ISAR imaging joint with phase adjustment is mathematically transferred into signal reconstruction via maximum a posteriori estimation.
Xing Mengdao, Yachao Li
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Inverse synthetic aperture radar (ISAR)
2001Imaging of tracked moving targets is possible by applying the principles of synthetic aperture. The relative motion between the target and the fixed radar system creates this aperture. The necessary rotation of the target with respect to the line of sight amounts to only few degrees.
PHILIPPE LACOMME +3 more
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Inverse synthetic aperture radar imaging of satellites
International Journal of Imaging Systems and Technology, 1998We present a scheme for radar imaging of satellites by the inverse synthetic aperture radar technique. We include some general principles in image formation when dealing with microwave-scattering experiments, such as radar observation of a satellite, so that the article is not confined to the radar community.
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System compensation for inverse synthetic aperture radar
Proceedings of National Aerospace and Electronics Conference (NAECON'94), 2002A system compensation method applied to an inverse synthetic aperture radar (ISAR) with STRETCH processing is presented in this paper. Some of the key issues causing sidelobes in ISAR design are discussed and the simulation and experiment results are given. This method can compensate not only the system distortion but the quadrature nonbalance.
null Guolin Wang +2 more
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Bistatic inverse synthetic aperture radar imaging
IEEE International Radar Conference, 2005., 2005The use of a monostatic radar configuration limits the ability of an inverse synthetic aperture radar (ISAR) system to image targets in certain geometries. By employing bistatic geometries this limitation may be overcome. Bistatic radar systems will pay a great role in the coming decade since a large number of radar missions are being foreseen.
null Zhenbo Zhu +2 more
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Compressive Sensing for Inverse Synthetic Aperture Radar Imaging
2017In the last few decades, the increasing demand for high-resolution images in applications such as automatic target recognition (ATR) and automatic target classification (ATC) for surveillance and homeland security has attracted the attention of the research community worldwide [35].
Bacci, Alessio +5 more
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A system model and inversion for synthetic aperture radar imaging
International Conference on Acoustics, Speech, and Signal Processing, 1992A system model and its corresponding inversion for synthetic aperture radar (SAR) imaging are presented. The system model incorporates the spherical nature of a radar's radiation pattern at far field. The inverse method based on this model performs a spatial Fourier transform (Doppler processing) on the recorded signals with respect to the available ...
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Optimal Sensor Positioning for Inverse Synthetic Aperture Radar
IEEE Transactions on Aerospace and Electronic Systems, 2013Noncooperative target recognition (NCTR) is often based on the use of inverse synthetic aperture radar (ISAR) images. Although ISAR systems are also able to provide an image of the target when the target's motions are not known a priori, the interpretation of the obtained image is not straightforward, and therefore, the target recognition becomes less ...
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Inverse Synthetic Aperture Radar Imaging Using Frame Theory
IEEE Transactions on Signal Processing, 2012Inverse synthetic aperture radar (ISAR) imaging is conventionally addressed by means of fast Fourier transform (FFT) method. In this paper, a frame processing method derived based on frame theory for ISAR imaging is proposed as an alternative to FFT based approaches.
Ya Jing Huang +3 more
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The resolution capabilities in inverse synthetic aperture radar
1989The resolution attainable by an Inverse Synthetic Aperture Radar system is discussed. The image reconstruction method is based on recovering the target reflectivity function by an inverse Fourier transform of the received signal samples collected for different positions of radar and target.
CORSINI, GIOVANNI, VACCARELLI A.
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