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Ultrawideband inverse scattering method for resonance region target recognition: Application to small-scale airplane targets with measured data

机译:用于共振区域目标识别的超宽带逆散射方法:具有测量数据的小飞机目标的应用

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This paper develops an inverse scattering method to determine the characteristics of resonance region targets by using ultrawideband scattering signals. The method mainly uses multiple time-domain signals for each target, and they are processed to give feature vectors in frequency domain. These vectors contain target-specific information related with characteristics (dimensions of substructures, material properties, etc.) of the known targets. The target recognition is employed by using test (unknown) target's scattering signal. This time-domain signal is processed in an inverse way to get a frequency-domain test vector. Then, the characteristics of test target are assigned as these of one of the known targets with a basic template-matching approach between test vector and feature vectors of these targets. The method is demonstrated for three realistic small-scale airplane. For an ultrawideband system of 0.7-18 GHz, more than 85 percent accuracy has been obtained even under moderate signal-to-noise (SNR) ratio of about 10 dB.
机译:本文提出了一种利用超宽带散射信号确定共振区域目标特性的逆散射方法。该方法主要针对每个目标使用多个时域信号,并对其进行处理以给出频域中的特征向量。这些矢量包含与特定目标有关的信息,这些信息与已知目标的特征(子结构的尺寸,材料特性等)有关。通过使用测试(未知)目标的散射信号来进行目标识别。以相反的方式处理该时域信号以获得频域测试向量。然后,利用测试目标和这些目标的特征向量之间的基本模板匹配方法,将测试目标的特征分配为已知目标之一。该方法针对三种现实的小型飞机进行了演示。对于0.7-18 GHz的超宽带系统,即使在大约10 dB的中等信噪比(SNR)下,也可以获得超过85%的精度。

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