Aircraft micro-Doppler feature extraction from high range resolution profiles

R. Berndt
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引用次数: 2

Abstract

The use of high range resolution measurements and the micro-Doppler effect produced by rotating or vibrating parts of a target has been well documented. This paper presents a technique for extracting features related to helicopter rotors and aircraft propellers from high range resolution profiles. The two features extracted are rotation rate harmonic (related to the rotation rate and number of blades of the scattering propeller/rotor) and the relative down range location of modulating propeller/rotor. These features provide valuable information for the classification and identification of airborne targets. The proposed algorithm was developed using simulated X-band data generated based on high quality CAD models of actual aircraft. The results indicate that, provided certain measurement parameters are chosen correctly and the SNR is sufficiently high, it is feasible to extract these features successfully.
飞机高距离分辨率微多普勒特征提取
利用高距离分辨率测量和由目标的旋转或振动部分产生的微多普勒效应已经有了很好的记录。提出了一种从高距离分辨率图像中提取直升机旋翼和螺旋桨相关特征的方法。提取的两个特征是转速谐波(与散射螺旋桨/旋翼的转速和叶片数有关)和调制螺旋桨/旋翼的相对降距位置。这些特征为空中目标的分类和识别提供了有价值的信息。该算法是基于高质量的实际飞机CAD模型生成的模拟x波段数据开发的。结果表明,只要选择正确的测量参数和足够高的信噪比,就可以成功地提取这些特征。
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