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Fast simulation of SAR raw data from complex scenes

机译:从复杂场景快速仿真SAR原始数据

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In the analysis of SAR, there is a need of simulating complex scenes without having measured radar raw data available. The common method is based on a set of point reflectors, which model the response from an extended target. The received I,Q-signals along the SAR aperture are computed, and the effects of internal noise and uncompensated phase errors are easily included. This method becomes extremely cumbersome for complex scenes with radar response from each resolution cell. In this paper, a much more rapid method of raw data generation is applied. The complex numbers representing the SAR image are then converted to radar raw data using the SAR-processing algorithms backwards. The key transform is the scene centre focusing, which ties together SAR data and sensor geometry. This method of generating raw data is several orders of magnitude faster than the direct method described above. The effects of internal noise and phase errors, due to imperfect motion compensation, can easily be included. The method can be applied as well to simulation studies of auto-focusing, DPCA and STAP.
机译:在SAR的分析中,需要模拟复杂的场景,而无需测量雷达原始数据。常用方法基于一组点反射器,其模拟了从扩展目标的响应。沿SAR孔径的接收I,Q-Signaly被计算,并且容易包括内部噪声和未计入的相位误差的影响。对于具有来自每个分辨率单元的雷达响应的复杂场景变得非常麻烦。在本文中,应用了一种更快速的原始数据生成方法。然后使用SAR处理算法向后转换表示SAR图像的复数来转换为雷达原始数据。关键变换是场景中心聚焦,将SAR数据和传感器几何连接在一起。这种生成原始数据的方法是比上述直接方法快的几个数量级。由于不完美的运动补偿,内部噪声和相位误差的影响很容易被包括在内。该方法也可以应用于自动聚焦,DPCA和STAP的仿真研究。

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