起始歧义对SEM特征的影响以及散射和极化多样化的归约方法

F. Aldhubaib
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引用次数: 4

摘要

本文评估了在雷达目标分类的背景下,多重静态散射如何减轻延迟开始对提取的共振模式鲁棒性的影响。该评估利用模式分布与发作偏移来验证模式提取对所选发作的敏感性,尤其是对高阶发作的敏感性。然而,在一些双基地方向内,模式具有增强的能量,具有较小的镜面能量,使得模式估计对起始偏移不太敏感。此外,每个双基地和偏振配置的模式分布已经证明了精确和一致的模式提取的不同起始窗口。值得注意的是,模式能量分布的分布表明,分类性能随着选择不当的开始而下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Onset Ambiguity on SEM Signature and Reduction Approach by Scattering and Polarization Diversification
The paper assesses how multiple-static scattering mitigates the effect of late-time onset on the robustness of the extracted resonance modes in the context of radar target classification. The assessment exploits the mode distribution vs onset shift to verify the sensitivity of the mode’s extraction to the selected onset, especially higher-order, to onset. However, within some bistatic directions, the modes have enhanced energies with lesser specular energy, making the modes estimate less sensitive to onset shifts. Also, the mode distribution per bistatic and polarization configuration has demonstrated different onset windows of accurate and consistent mode extraction. Notably, the distribution of the mode energy distribution reveals that classification performance degrades with poorly selected onset.
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