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Research on Imaging Algorithms for Bistatic System of Geosynchronous SAR Based on Stationary Motion Mode

机译:基于静止运动模式的地球同步SAR仿真系统成像算法研究

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The geosynchronous orbit SAR system (GEOSAR) can monitor a certain area for a long time. It has the advantages of short revisit cycle and strong anti-attack ability. It has wide application prospect and development potential in military and civil fields. But at the same time, the time variability of the atmosphere in the long synthetic aperture affects the focusing performance of the L-band GEOSAR, and its antenna size, power consumption, and the cost of launching are also greatly limited to the engineering implementation of the radar. In order to solve the above problem, this paper derives the imaging algorithm of the double-base stationary motion model based on the concept of the binary radar system (GEO-UAV SAR) of the star machine hybrid system (GEO-UAV SAR) received by GEOSAR and carries out the simulation test. The basic theoretical model is put forward for the research of the imaging algorithm in the nonstationary state, and the development of the test star is made. And construction provides a basic theoretical research result.
机译:地球同步轨道SAR系统(GEOSAR)可以监视了很久一定的面积​​。它有短重访周期和较强的抗攻击能力的优势。它在军事和民用领域广阔的应用前景和发展潜力。但在同一时间,气氛中的长合成孔径时间可变性影响了L波段GEOSAR,和它的天线尺寸,功耗的聚焦性能,并且发射的成本也大大限制在工程实现的雷达。为了解决上述问题,此推导基于二进制雷达系统星形机混合动力系统的(GEO-UAV SAR)(GEO-UAV SAR)的接收的概念的双基静止运动模型的成像算法通过GEOSAR并执行模拟测试。基本的理论模型,提出了在非平稳状态下成像算法的研究,试验星的发展而成。和建设提供了基础理论研究的结果。

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