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Study and Simulation of Radar Targets' Micro-Doppler Signature

机译:雷达目标微多普勒签名的研究与仿真

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Micro-Doppler signature of any radar target is induced due to back-scattering from rotational parts of engine compressor, exposed blades, turbine etc. The study of micro-Doppler signature aids in feature extraction based target recognition. To devise coarse target recognition scheme, it is necessary to study and model different types of aerial targets for micro-Doppler signature. In this paper, JET Engine Modulation(JEM), Helicopter Rotor Engine Modulation(HERM), propeller modulation is simulated for surveillance band radar using standard existing models. The simulated I/Q data is validated with some degree of closeness against real radar data. Doppler energy received for different types of targets varies with aspect, range and RCS. This energy is quantified at coarser level target recognition into different classes. Since the normal radar waveform for search and track function is used for this quantification, the radar computational resources are saved. The radar tracker kinematics, aspect angle and RCS is also used in conjunction with Doppler information to increase confidence of classification. Thereafter, specially designed NCTR waveform for feature extraction can be played for track with high confidence.
机译:雷达压缩机的旋转零件,裸露的叶片,涡轮等的反向散射会引起任何雷达目标的微多普勒签名。微多普勒签名的研究有助于基于特征提取的目标识别。为了设计粗略的目标识别方案,有必要研究和建模用于微多普勒签名的不同类型的空中目标。本文使用现有标准模型对监控波段雷达进行了JET发动机调制(JEM),直升机旋翼发动机调制(HERM)和螺旋桨调制仿真。模拟的I / Q数据与真实雷达数据具有某种程度的接近性。不同类型目标接收到的多普勒能量随纵横比,范围和RCS的不同而变化。这种能量在较粗的目标识别级别上被量化为不同的类别。由于用于搜索和跟踪功能的普通雷达波形用于此量化,因此节省了雷达计算资源。雷达跟踪器的运动学,纵横比和RCS也与多普勒信息结合使用,以增加分类的置信度。此后,可以以高置信度播放专门设计的用于特征提取的NCTR波形以进行跟踪。

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