亚马逊热带雨林星载SAR辐射定标算法

天线外定标是实现星载SAR天线方向图在轨测试的主要手段。天线方向图的准确测量，对星载SAR图像的应用具有重要作用。分布目标辐射定标在星载SAR天线方向图测试中受到广泛重视。亚马逊热带雨林的后向散射系数呈现大面积的均匀性和稳定性，故成为分布目标定标最主要的定标场。该文在分布目标定标原理的基础上，对基于亚马逊热带雨林的星载SAR天线方向图测量算法进行了研究，提出了采用K．Pearson统计量非参数假设检验的一致性处理算法，并采用Levenberg-Marquard算法（LM算法）估计俯仰向天线方向图模型参数。仿真数据验证了算法的可靠性和准确性。

Spaceborne SAR Antenna Pattern Measurement Based on Amazon Tropic Rain Forest

External calibration is key method used for spaceborne SAR antenna onboard measurement. Accurate measurement of antenna pattern is important to spaceborne SAR image application, and distributed target antenna pattern measurement is widely concerned. Because the backscattering coefficient is constant, Amazon tropic rain forest is the important calibration region. In this article, the spaceborne SAR Amazon tropic rain forest antenna pattern measurement algorithm is researched and tested by JRES-1 simulated data. Simulation results prove the algorithm be correct and effective.