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A multifeature decision space approach to radar targetidentification

机译:雷达目标识别的多特征决策空间方法

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This work focuses on the use of actual radar sensor data to construct a multifeature decision space formulation to the target identification (TID) problem. The decision space concepts are classical and the basic target features used can be extracted from the data provided by standard radar sensor operating modes. The target features used in the decision process along with the construction of a useful statistical description of each feature for a given target are presented. A multidimensional formulation of the decision space and the decision logic is also presented leading to a versatile multifeature based algorithm. The algorithm performance has been evaluated on live data and the results are reported
机译:这项工作着重于使用实际雷达传感器数据来构造针对目标识别(TID)问题的多功能决策空间公式。决策空间概念是经典的,可以从标准雷达传感器工作模式提供的数据中提取所使用的基本目标特征。介绍了决策过程中使用的目标特征以及针对给定目标的每个特征的有用统计描述的构造。还提出了决策空间和决策逻辑的多维表述,从而导致了一种通用的基于多特征的算法。已经对实时数据评估了算法性能,并报告了结果

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