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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Application of frequency correlation function to radar target detection
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Application of frequency correlation function to radar target detection

机译：频率相关函数在雷达目标检测中的应用

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摘要

Analysis of high-resolution 35 GHz synthetic aperture radar (SAR) imagery of terrain reveals that when point targets, such as vehicles, are viewed at angles close to grazing incidence, they are often difficult to distinguish from tree trunks because the radar cross section (RCS) intensities of the vehicles are comparable to the upper end of the RCS exhibited by tree trunks. To resolve the point target/tree trunk ambiguity problem, a detailed study was conducted to evaluate the use of new detection features based on the complex frequency correlation function (FCF). This paper presents an analytical examination of FCF and its physical meaning, the results of a numerical simulation study conducted to evaluate the performance of a detection algorithm that uses FCF, and the corroboration of theory with experimental observations conducted at 35 and 95 GHz. The FCF-based detection algorithm was found to correctly identify tree trunks as such in over 90% of the cases, while exhibiting a false alarm rate of only 3%.
机译：地形高分辨率35 GHz合成孔径雷达（SAR）图像显示，当点目标（如车辆）靠近放牧发病率的角度时，它们通常难以区分树横梁，因为雷达横截面（ RCS）车辆的强度与树干展出的RC的上端相当。为了解决点目标/树干歧义问题，进行了详细研究以评估基于复频相关函数（FCF）的新检测特征的使用。本文提出了FCF的分析检查及其物理含义，进行了数值模拟研究的结果，以评估使用FCF的检测算法的性能，以及在35和95GHz的实验观察中的实验观测的腐蚀。发现基于FCF的检测算法是正确识别在90％以上的案例中的树干，而展示误报率仅为3％。

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