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SAR Sensor Trajectory Deviations: Fourier Domain Formulation and Extended Scene Simulation of Raw Signal

机译:SAR传感器轨迹偏差:原始信号的傅里叶域表示和扩展场景模拟

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Synthetic aperture radar (SAR) raw signal simulation is a useful tool for SAR system design, mission planning, processing algorithm testing, and inversion algorithm design. A two-dimensional (2-D) Fourier domain SAR raw signal simulator, exploiting the efficiency of fast Fourier transform algorithms, has been presented some years ago and is able to generate the raw signal corresponding to extended scenes. However, it cannot account for the effects of sensor trajectory deviations with respect to the nominal straight-line path. This paper explores the possibility of extending the efficient Fourier domain simulation approach to the case of sensor trajectory deviations, which is more realistic for airborne SAR systems. We first of all obtain a general and compact Fourier domain formulation of the SAR raw signal in the presence of arbitrary trajectory deviations, and show that in this general case no efficient simulation scheme can be devised. However, we demonstrate that, if a narrow beam and slow trajectory deviation assumption is made, a full 2-D Fourier domain simulation can be used. This approach can be applied only to some SAR systems and/or trajectory deviations, but it has the advantage that processing time is practically not increased with respect to the nominal trajectory case. The validity limits of the approach are analytically evaluated. Some simulation results are finally presented in order to verify the effectiveness of the proposed simulation scheme. In another paper, which is the second part of this work, it will be shown that the narrow beam–slow deviation assumption can be relaxed, at the expense of computation efficiency, if a one-dimensional azimuth Fourier domain processing followed by a range time-domain integration is used.
机译:合成孔径雷达(SAR)原始信号仿真是用于SAR系统设计,任务计划,处理算法测试和反演算法设计的有用工具。几年前已经提出了一种二维(2-D)傅里叶域SAR原始信号模拟器,该模拟器利用了快速傅里叶变换算法的效率,并且能够生成与扩展场景相对应的原始信号。但是,它不能考虑传感器轨迹偏差相对于标称直线路径的影响。本文探讨了将有效傅里叶域仿真方法扩展到传感器轨迹偏差的可能性,这对于机载SAR系统更现实。首先,我们在存在任意轨迹偏差的情况下获得了SAR原始信号的通用且紧凑的傅里叶域公式,并表明在这种通用情况下,无法设计出有效的仿真方案。但是,我们证明,如果做出窄波束和慢轨迹偏差假设,则可以使用完整的二维傅里叶域仿真。该方法仅可应用于某些SAR系统和/或轨迹偏差,但具有以下优点:相对于标称轨迹情况,处理时间实际上不会增加​​。通过分析评估了该方法的有效性限制。最后给出一些仿真结果,以验证所提出的仿真方案的有效性。在另一篇文章中(这是本文的第二部分),将表明,如果一维方位傅立叶域处理后加上距离时间,则可以放宽窄波束–慢偏差假设,但会降低计算效率-域集成。

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