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Multichannel LEO SAR Imaging with GEO SAR Illuminator

机译:带有GEO SAR照明器的多通道LEO SAR成像

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Low-earth-orbit (LEO) synthetic aperture radar (SAR) can achieve advanced remote sensing applications benefiting from the large beam coverage and long duration time of interested area provided by a geosynchronous (GEO) SAR illuminator. In this paper, an imaging method for GEO-LEO SAR is proposed. After analyzing the sampling characteristics of GEO-LEO SAR, it is found that only 12.5 % sampling data can be acquired in azimuth direction. To handle the serious sub-Nyquist sampling problem and achieve good focusing results, an imaging method combined with multi-receiving technique and compressed sensing is proposed. The multi-receiving imaging model is firstly obtained based on the inverse process of a nonlinear chirp scaling imaging method. Then, the imaging problem of GEO-LEO SAR is converted to an L1 regularization problem. Finally, an effective recovery method named complex approximate message passing is applied to obtain the final nonambiguous image. The simulation results show that the proposed method can suppress 8 times Doppler ambiguity and obtain the well focused image with 3 receiving channels.
机译:低地球轨道(LEO)合成孔径雷达(SAR)可以实现先进的遥感应用,这得益于地球同步(GEO)SAR照明器提供的大波束覆盖范围和感兴趣区域的较长持续时间。本文提出了一种GEO-LEO SAR成像方法。在分析GEO-LEO SAR的采样特性之后,发现在方位角方向上只能获取12.5%的采样数据。为解决亚奈奎斯特采样问题,并取得良好的聚焦效果,提出了一种将多接收技术与压缩感知相结合的成像方法。首先基于非线性chi定标成像方法的逆过程获得了多接收成像模型。然后,将GEO-LEO SAR的成像问题转换为L 1 正则化问题。最后,采用一种有效的恢复方法,称为复杂近似消息传递,以获取最终的清晰图像。仿真结果表明,该方法可抑制8倍多普勒模糊度,并获得3个接收通道的聚焦良好的图像。

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