利用频率随机波形恢复严重运动退化的SAR图像

K. Morrison
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引用次数: 7

摘要

使用SAR成像是实验室RCS表征特征关键平台的重要工具。尽管采取了相反的措施,但在成像过程中,空气湍流和机械振动会对目标产生复杂的扰动。模型代码的编写是为了在广泛的代表性目标运动和成像方案上提供模拟。许多实验室雷达的缓慢扫频数据采集方案意味着目标在脉冲期间和脉冲之间可能经历显著的运动,导致距离轮廓的大量和时变的离焦。传统的运动校正方案不能使用,因为它们依赖于可以在成像过程中跟踪的清晰定义的距离轮廓的存在。研究发现,将频率单调递增的波形替换为频率采样顺序反复随机化的波形,可以显著恢复图像,特别是与数据平均相结合。发现图像退化模式与雷达波形方案和目标运动特性有复杂的依赖关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recovery of badly motion-degraded SAR imagery by the use of frequency-randomized waveforms
The use of SAR imaging is an important tool in the laboratory RCS characterization of signature critical platforms. Despite measures to the contrary, air turbulence and mechanical vibration can produce complex perturbations of the target during the imaging process. Model code was written to provide simulations over a wide range of representative target motions and imaging schemes. The slow swept-frequency data collection schemes of many laboratory radars mean that the target can undergo significant motion during and between pulses, leading to substantial and time-varying defocusing of range profiles. Conventional motion-correction schemes cannot be used as they rely on the presence of clearly defined range profiles which can be tracked over the imaging process. It was found that replacement of a monotonically increasing frequency waveform with one in which the frequency sampling order was repeatedly randomized could produce a significant recovery of the imagery, especially in combination with data averaging. The pattern of the image degradation was found to have a complex dependence on the radar waveform scheme and target motion characteristics.
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