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Efficient Simulation of Airborne SAR Raw Data of Extended Scenes

机译:扩展场景的机载SAR原始数据的高效仿真

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In a previous paper, a two-dimensional Fourier domain synthetic aperture radar (SAR) raw signal simulator that exploits the efficiency of fast Fourier transform algorithms was presented. It accounts for the effects of sensor trajectory deviations and is able to generate the raw signal corresponding to extended scenes in a few seconds. However, a narrow-beam–slow-deviation assumption is made; hence, the approach can be applied only to some SAR systems and/or trajectory deviations. To overcome this limitation, in this paper, we show that the narrow-beam–slow-deviation assumption can be relaxed, at the expense of computation efficiency, if use is made of one-dimensional azimuth Fourier domain processing followed by range time-domain integration. The latter approach only requires some reasonable assumptions on the sensor motion and on the SAR system features; hence, it can be used for airborne SAR systems, and turns out to be still much more efficient than the time-domain one; hence, extended scenes can still be considered. Validity limits of the approach are also analytically evaluated, and several simulation results are finally presented to verify the effectiveness of the proposed simulation scheme.
机译:在以前的论文中,提出了一种二维傅立叶域合成孔径雷达(SAR)原始信号模拟器,该模拟器利用了快速傅立叶变换算法的效率。它考虑了传感器轨迹偏差的影响,并能够在几秒钟内生成与扩展场景相对应的原始信号。然而,有一个窄光束-慢偏差的假设。因此,该方法只能应用于某些SAR系统和/或轨迹偏差。为了克服这一限制,在本文中,我们表明,如果使用一维方位傅立叶域处理,然后进行距离时域处理,则可以放宽窄波束-慢偏差假设,但会降低计算效率积分。后一种方法只需要对传感器运动和SAR系统功能进行一些合理的假设即可。因此,它可以用于机载SAR系统,并且比时域的效率更高。因此,仍然可以考虑扩展场景。还对该方法的有效性限制进行了分析评估,最后给出了一些仿真结果,以验证所提出的仿真方案的有效性。

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