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首页> 外文会议>2014 IEEE MTT-S International Microwave and RF Conference, Collocated with Intemational Symposium on Microwaves >Discrimination of closely resembling PEC targets based on natural resonant frequencies
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Discrimination of closely resembling PEC targets based on natural resonant frequencies

机译：根据自然共振频率区分相似的PEC目标

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摘要

The Natural Resonant Frequencies (NRFs) obtained from the late time response of targets are aspect independent in nature and thus, is well suited for radar target identification. In resonance based identification techniques, the accurate determination of NRFs is very important. In this paper, a technique for identifying the true NRFs of objects, useful in discriminating two closely resembling objects is proposed. The NRFs are extracted from the E-field response of the object using the Vector Fitting (VF) method. The NRFs of database object and the Radar Cross Section (RCS) of unknown object are used to discriminate between them. A risk factor is defined as a measure of discrimination. In this study, ellipsoids with different axial ratios are considered for discrimination and the results are presented.
机译：从目标的后期响应获得的自然共振频率（NRF）本质上与方面无关，因此非常适合于雷达目标识别。在基于共振的识别技术中，准确确定NRF非常重要。本文提出了一种识别物体真实NRF的技术，该技术可用于区分两个非常相似的物体。使用矢量拟合（VF）方法从对象的电场响应中提取NRF。数据库对象的NRF和未知对象的雷达横截面（RCS）用于区分它们。风险因素定义为歧视的度量。在这项研究中，考虑了具有不同轴向比率的椭球进行判别，并给出了结果。

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