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Inclined Geosynchronous Spaceborne–Airborne Bistatic SAR: Performance Analysis and Mission Design

机译:倾斜地球同步星空机载双基地SAR:性能分析和任务设计

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Geosynchronous synthetic aperture radar (GEO-SAR) offers new opportunities for continuous Earth observation missions with large coverage and short revisit cycle. The unique features of GEO-SAR present huge potentials for bistatic observation applications. In this paper, the concept and advantages of GEO bistatic SAR (GEO-BiSAR) are first investigated. The system consists of a GEO illuminator and an airborne receiver, such as an airplane or a near-space vehicle. Compared with a monostatic GEO-SAR system, the bistatic configuration can provide finer spatial resolution and higher signal-to-noise ration (SNR) with less system complexity. The spatial resolution characteristics are then analyzed based on generalized ambiguity function, where the time-varying GEO velocity, Earth rotation, and ellipsoid Earth surface are taken into consideration. Meanwhile, the bistatic SNR is analyzed using the integration equation model. In this paper, the mission design for GEO-BiSAR aims at identifying a set of receiver flight parameters and bistatic configurations to obtain the desired spatial resolution and SNR. Based on the desired imaging performance of a specific application background, the mission design process is modeled as a nonlinear equation system (NES). Finally, a mission design method based on fast nondominated sorting genetic algorithm is proposed to solve the NES and obtain multiple optimal solutions to guide the receiver flight missions. Examples of the mission design process are given to validate the effectiveness of the proposed method. The results of the mission design can be conveniently used to guide the receiver flight mission for the desired imaging performance, which is highly desirable in practical applications.
机译:地球同步合成孔径雷达(GEO-SAR)为覆盖范围广,重访周期短的连续地球观测任务提供了新的机会。 GEO-SAR的独特功能为双基地观测应用提供了巨大的潜力。本文首先研究了GEO双基地SAR(GEO-BiSAR)的概念和优势。该系统由GEO照明器和机载接收器(例如飞机或近太空飞行器)组成。与单基地GEO-SAR系统相比,双基地配置可提供更好的空间分辨率和更高的信噪比(SNR),且系统复杂度更低。然后基于广义模糊函数分析空间分辨率特征,其中考虑了时变的GEO速度,地球自转和椭球地表。同时,利用积分方程模型分析了双基地信噪比。在本文中,GEO-BiSAR的任务设计旨在识别一组接收机飞行参数和双基地配置,以获得所需的空间分辨率和SNR。根据特定应用背景的期望成像性能,将任务设计过程建模为非线性方程系统(NES)。最后,提出了一种基于快速非支配排序遗传算法的任务设计方法,以解决NES问题并获得多个最优解来指导接收机的飞行任务。给出了任务设计过程的示例,以验证所提出方法的有效性。任务设计的结果可以方便地用于指导接收机的飞行任务,以实现所需的成像性能,这在实际应用中是非常需要的。

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