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Validation of Maneuvering Target RCS by Computation based on Feature Selective Validation(FSV)

机译:基于特征选择验证(FSV)的机动目标RCS计算验证

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Computational electromagnetics is one of the important means to estimate maneuvering target radar cross section (RCS), and the correction of its computation result is the essential basis of the further analysis of target RCS. Anciently, the experience was usually used for the validation of target RCS by computational electromagnetic, for example the computational results were often simply compared with other computational results or measured results by observation, so this kind of validation is cursory and imprecise. In order to predict the community of computational and measured results of target RCS, the feature selective validation technique is used to compare these data in this paper. A missile target RCS is computed by MoM/PO, and compared with measured data with FSV technique. The comparison demonstrates that there is great community of the two measures, and the computational result could provide theory basis for studying dynamic RCS of maneuvering target.
机译:计算电磁学是估算机动目标雷达截面(RCS)的重要手段之一,其计算结果的修正是进一步分析目标RCS的必要基础。古代,通常将经验用于通过计算电磁来验证目标RCS,例如,通常将计算结果与其他计算结果或通过观察来的测量结果进行简单地比较,因此这种验证是粗略且不精确的。为了预测目标RCS的计算和测量结果的共同性,本文使用特征选择验证技术对这些数据进行比较。导弹目标RCS由MoM / PO计算得出,并与FSV技术的实测数据进行比较。比较表明,这两种措施有很大的共同点,计算结果可为研究机动目标的动态RCS提供理论依据。

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