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FOPEN SAR imaging using UWB step-frequency and random noisewaveforms

机译：使用UWB步进频率和随机噪声波形的FOPEN SAR成像

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摘要

The detection and identification of targets obscured by foliage have been topics of great interest. Several synthetic aperture radar (SAR) experiments have demonstrated promising images of terrain and man-made objects obscured by dense foliage, by using either linear frequency modulation (LFM) or step-frequency waveforms. We present here the methodology and results of a comparative study on foliage penetration (FOPEN) SAR imaging using ultrawideband (UWB) step-frequency and random noise waveforms. A statistical-physical foliage transmission model is developed for simulation applications. The foliage obscuring pattern is analyzed by means of the technique of paired echoes. The results of the comparative study demonstrates the ability of a UHF band UWB random noise radar to be used as a FOPEN SAR. Advantages of the random noise radar system include covert detection and immunity to radio frequency interference (RFI)
机译：树叶遮挡的目标的检测和识别一直是引起人们极大兴趣的主题。几个合成孔径雷达（SAR）实验已经证明，通过使用线性频率调制（LFM）或步进频率波形，前景良好的图像和被茂密的树叶遮盖的人造物体的图像。我们在此介绍使用超宽带（UWB）步进频率和随机噪声波形对树叶穿透（FOPEN）SAR成像进行比较研究的方法和结果。统计物理叶子传输模型被开发用于仿真应用。借助成对的回波技术分析了叶子的遮盖模式。比较研究的结果表明，UHF频带UWB随机噪声雷达可用作FOPEN SAR的能力。随机噪声雷达系统的优点包括秘密检测和抗射频干扰（RFI）

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