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首页> 外文期刊>Aerospace and Electronic Systems Magazine, IEEE >Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets
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Automatic algorithm for estimating the jet engine blade number from the radar target signature of aircraft targets

机译：从飞机目标的雷达目标特征估计喷气发动机叶片数量的自动算法

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摘要

Radar is a powerful tool for detecting and tracking airborne targets by day and night. Nowadays, noncooperative target recognition (NCTR) is considered an important subject. NCTR means technologies provide high-resolution target signatures and use them to make some decisions about the type of target that has been detected. Clearly, this function is performed with no cooperation from the target concerned, and it may even not be aware that its signature is being measured for recognition purposes [1]. Jet engine modulation (JEM) [2]–[4] generated by the engine rotation in an aircraft has been used for radar-based NCTR purposes, along with high-resolution range profile and inverse synthetic aperture radar (ISAR) [5]–[7]. Recognition by JEM uses micro-Doppler features induced by a rotating jet engine compressor. The micro-Doppler is characterized by a time-dependent Doppler shift that is different from that caused by the target bulk motion.
机译：雷达是用于白天和黑夜检测和跟踪机载目标的强大工具。如今，非合作目标识别（NCTR）被认为是重要的主题。 NCTR意味着技术可以提供高分辨率的目标签名，并使用它们对已检测到的目标类型做出一些决策。显然，此功能是在没有相关目标合作的情况下执行的，甚至可能不知道其签名正在出于识别目的而被测量[1]。飞机发动机旋转产生的喷气发动机调制（JEM）[2] – [4]已用于基于雷达的NCTR，以及高分辨率测距和反合成孔径雷达（ISAR）[5] – [7]。 JEM的识别使用了旋转喷气发动机压缩机引起的微多普勒特征。微型多普勒的特征在于与时间相关的多普勒频移，该频移与目标体运动引起的频移不同。

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