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PCL Low RCS target classification apparatus based on PCL radar network and method thereof

机译:基于pcl雷达网络的pcl低rcs目标分类装置及其方法

摘要

The present invention relates to a device and a method for low-observable target identification based on a PCL operation environment. According to the present invention, the method for low-observable target identification based on a PCL operation environment includes: a step of obtaining RCS data of each candidate model by transmitter during flight of K heterogeneous candidate models based on a set flight scenario and an electromagnetic numerical analysis tool and establishing RCS frequency distribution by candidate model with respect to each of the transmitters; a step of measuring an RCS value of a target to be identified so as to correspond to each of the transmitters based on each transmission signal of the transmitters, a reception signal of a receiver in relation thereto, and transceiver operation information when the target to be identified is generated; a step of generating the score of similarity between the target to be identified and each candidate model by comparison between the established RCS frequency distribution by candidate model and the measured RCS value of the target to be identified with respect to each of the transmitters; and a step of determining one among the K candidate models based on the result of combination with the similarity score derived so as to correspond to the transmitters for each of the K candidate models and providing the determination as a target identification result with respect to the target to be identified. According to the present invention, it is possible to effectively identify a low-observable target hardly identifiable in a PCL environment based on a statistical hypothesis test between the established RCS distribution data by candidate model and the RCS value of the low-observable target detected by a passive radar in the PCL operation environment.
机译:基于PCL操作环境的低可观察目标识别的装置和方法技术领域本发明涉及基于PCL操作环境的低可观察目标识别的装置和方法。根据本发明,基于PCL操作环境的低可观测目标识别方法包括:步骤:在设定的飞行场景和电磁条件下,在K个异构候选模型的飞行过程中,发射机获取每个候选模型的RCS数据。数值分析工具,并通过候选模型针对每个发射机建立RCS频率分布;步骤:基于发送器的每个发送信号,与之相关的接收器的接收信号,以及当该发送器的目标为目标时的收发器操作信息,测量要识别的目标的RCS值,使其与每个发送器相对应识别生成;通过比较建立的候选模型的RCS频率分布与相对于每个发射机的待测目标的测量RCS值之间的比较,生成待识别目标和每个候选模型之间的相似度得分的步骤;以及基于与所获得的相似度得分相组合的结果,在K个候选模型中确定一个候选模型的步骤,以与K个候选模型中的每个模型的发射机相对应,并将确定结果作为针对目标的目标识别结果被识别。根据本发明,可以基于通过候选模型建立的RCS分布数据和通过检测到的低可观察目标的RCS值之间的统计假设检验,有效地识别在PCL环境中难以识别的低可观察目标。 PCL操作环境中的无源雷达。

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