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Ground Moving Target Imaging and Analysis for Near-Space Hypersonic Vehicle-Borne Synthetic Aperture Radar System with Squint Angle

机译:斜视角接近空间高度高速公路合成孔径雷达系统的地面移动目标成像及分析

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摘要

Near space is the key to integrating “sky„ and “space„ into the future. A synthetic aperture radar (SAR) that works in this area would initiate a technological revolution for remote sensing applications. This study mainly focused on ground moving target imaging (GMTIm) for a near-space hypersonic vehicle-borne SAR (NS-HSV-SAR) with squint angle. The range history, parameter coupling, and Doppler ambiguity of the squint-looking NS-HSV-SAR are more complicated than traditional side-looking airborne or space-borne SARs. Thus, a precise range model is presented on the basis of phase error analyses. Then, all potential distributions of echo’s azimuth spectrum are derived, and a GMTIm method is proposed on the basis of a detailed analysis of the echo characteristics. The proposed method consists of three steps. Firstly, a prior information-based pre-processing function was created to decrease the Doppler ambiguity and range migration effects. Secondly, a blur matched keystone transform was developed to correct the residual range walk migration. Thirdly, a time-saving chirp Fourier transform was investigated for azimuth focusing. Implementation considerations, including the curvilinear trajectory of the NS-HSV-SAR, multiple moving target imaging, and applicability and limitation of the method, are discussed. Finally, simulation results are presented to validate the effectiveness of the proposed method.
机译:近地空间的关键是“天空‘和’空间“纳入未来。在这一领域工作的合成孔径雷达(SAR)将启动对遥感应用的技术革命。该研究主要集中在地面移动目标成像(GMTIm),用于与斜视角的近空间高超音速车载SAR(NS-HSV-SAR)。该范围内的历史,参数耦合,斜视,看NS-HSV-SAR的多普勒模糊比传统的侧视机载或星载SAR的更复杂。因此,精确的范围模型被呈现的相位误差分析的基础上。然后,回声的方位角光谱的所有电势分布被导出,并且提出的回声特性的详细分析的基础上的GMTIm方法。该方法包括三个步骤。首先,创建现有基于信息的预处理功能,以减少多普勒模糊度和范围迁移的效果。其次,模糊匹配的梯形变换的开发是为了纠正残留步行范围内迁移。第三,节省时间的啁啾傅里叶变换,研究了方位聚焦。实施方面的考虑,其中包括NS-HSV-SAR,多个运动目标成像,和适用性,并且该方法的限制的曲线轨迹,进行了讨论。最后,仿真结果验证了该方法的有效性。

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