Journal Article10.1088/1674-1056/24/4/048402
Research on spatial-variant property of bistatic ISAR imaging plane of space target
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TL;DR: In this paper, the spatial-variant property of the imaging plane of a three-axis-stabilized space target was analyzed using a two-body model, and the instantaneous imaging plane was determined by the method of vector analysis.
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Abstract: The imaging plane of inverse synthetic aperture radar (ISAR) is the projection plane of the target. When taking an image using the range-Doppler theory, the imaging plane may have a spatial-variant property, which causes the change of scatter’s projection position and results in migration through resolution cells. In this study, we focus on the spatial-variant property of the imaging plane of a three-axis-stabilized space target. The innovative contributions are as follows. 1) The target motion model in orbit is provided based on a two-body model. 2) The instantaneous imaging plane is determined by the method of vector analysis. 3) Three Euler angles are introduced to describe the spatial-variant property of the imaging plane, and the image quality is analyzed. The simulation results confirm the analysis of the spatial-variant property. The research in this study is significant for the selection of the imaging segment, and provides the evidence for the following data processing and compensation algorithm.
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Citations
An MTRC-AHP Compensation Algorithm for Bi-ISAR Imaging of Space Targets
TL;DR: The movement of a scatterer is modeled as a quartic function under the restriction of the space target orbit, then an MTRC-AHP compensation algorithm is proposed, and a fourth-order keystone transform is introduced to remove the M TRC and residual AHP terms are compensated gradually.
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Phase Unwrapping for Bistatic InISAR Imaging of Space Targets
TL;DR: The spatial-variant property of inverse synthetic aperture radar (ISAR) imaging plane of space targets is exploited for phase unwrapping in bistatic interferometric ISAR (InISAR), to obtain the correct fuzzy factor in a calculated set.
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Bistatic ISAR distortion mitigation of a space target via exploiting the orbital prior information
TL;DR: In this article, a distortion mitigation algorithm of a space target is proposed via exploiting the orbital prior information, where the linear geometry distortion and image defocus are induced by the time-varying bistatic angle in a Bi-ISAR system.
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Bi-ISAR sparse imaging algorithm with complex Gaussian scale mixture prior
TL;DR: The proposed Bi-ISAR sparse imaging algorithm with the full Bayesian inference can obtain a well-focused image without manual adjustments of regularisation parameters and can avoid the local minimum and structural errors, due to utilising the statistical information of a posterior.
5
Bistatic ISAR Sparse Imaging Method for High-Speed Moving Target Based on Dechirping Processing
TL;DR: This work proposes a bistatic ISAR imaging method for high-speed moving target with geometric distortion correction and calibration based on dechirping processing and shows that the proposed method has a better resolution and simultaneously attains geometric Correction and calibration of the image.
References
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On Bistatic Inverse Synthetic Aperture Radar
TL;DR: It is shown here how a particular bistatic configuration can produce three view angles and three ISAR images simultaneously.
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On deception jamming for countering bistatic ISAR based on sub-Nyquist sampling
TL;DR: It is demonstrated that deceptive false-target images will be induced by the under-sampled pulses which are retransmitted to a moving target and scattered by it under the principles of bistatic ISAR configuration.
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