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Research on spatial-variant property of bistatic ISAR imaging plane of space target 总被引:1,自引:0,他引:1
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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. 相似文献
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采用双基地逆合成孔径雷达距离-多普勒算法成像时,目标尺寸较大或累积转角过大,会引起越分辨单元徙动现象,影响成像质量.针对双基地角时变下逆合成孔径雷达成像的越分辨单元徙动问题,提出了一种校正算法.首先,建立了双基地逆合成孔径雷达回波模型,分析了越分辨单元徙动的产生机理,并通过广义的Keystone变换实现了越距离单元徙动的校正,同时消除了目标非匀速转动对成像的影响.然后,基于图像对比度最大准则估计了图像的等效旋转中心位置,并对距离向绝对定标,进而构造补偿相位项,完成了越多普勒单元徙动的校正.仿真实验结果表明,此方法能够有效地校正双基地角时变下的越分辨单元徙动,提高成像质量. 相似文献
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High resolution inverse synthetic aperture radar imaging of three-axis-stabilized space target by exploiting orbital and sparse priors
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The development of inverse synthetic aperture radar(ISAR) imaging techniques is of notable significance for monitoring, tracking and identifying space targets in orbit. Usually, a well-focused ISAR image of a space target can be obtained in a deliberately selected imaging segment in which the target moves with only uniform planar rotation. However, in some imaging segments, the nonlinear range migration through resolution cells(MTRCs) and time-varying Doppler caused by the three-dimensional rotation of the target would degrade the ISAR imaging performance, and it is troublesome to realize accurate motion compensation with conventional methods. Especially in the case of low signal-to-noise ratio(SNR),the estimation of motion parameters is more difficult. In this paper, a novel algorithm for high-resolution ISAR imaging of a space target by using its precise ephemeris and orbital motion model is proposed. The innovative contributions are as follows. 1) The change of a scatterer projection position is described with the spatial-variant angles of imaging plane calculated based on the orbital motion model of the three-axis-stabilized space target. 2) A correction method of MTRC in slant-and cross-range dimensions for arbitrarily imaging segment is proposed. 3) Coarse compensation for translational motion using the precise ephemeris and the fine compensation for residual phase errors by using sparsity-driven autofocus method are introduced to achieve a high-resolution ISAR image. Simulation results confirm the effectiveness of the proposed method. 相似文献
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