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Correlation of High Range Resolution Radar Signals of Aircraft with Modelled Data Stored in a Data Base

机译:飞机的高分辨雷达信号与数据库中存储的模型化数据的相关性

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Performaning a Non-cooperative Identification function (NCl) depends mainly on the database with which measured radar data can be compared. This paper is concerned with one dimensional high range resolution signals of airborne targets and the possiblity of creating matching templates from modelled data for storage in a template library. Both the measured data and the modelled data are processed to obtain range profile plots as functions of the target aspect angle. The measured and simulated plots are compared for different targets. Further, both data sets are tested in such a way that cuts through the plots are taken as templates for profiles under a certain aspect angle az=y. These cuts are correlated with the original measured range profiles. Identification statistics are obtained from the correlation with the modelled data and with the measurement based data.
机译:执行非协作识别函数(NCL)主要取决于可以比较测量雷达数据的数据库。本文涉及机载目标的一维测度信号,以及从模板库中的存储中的模型数据创建匹配模板的可能性。处理数据和建模数据都被处理以获得范围分布曲线作为目标方向角的函数。比较测量的和模拟的图与不同的目标进行比较。此外,两个数据集都以这样的方式测试,使得通过绘制的曲线剪切作为模板,用于在某个方面角度az = y下的分布。这些切割与原始测量范围曲线相关。从与建模数据的相关性获得识别统计数据以及基于测量的数据获得。

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