Feature extraction algorithm of a precession target based on a Doppler frequency profile of dual-aspect observation

Wang Ning; Mo Di; Song Ziqi; Wang Ran; Wu Yirong

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Feature extraction algorithm of a precession target based on a Doppler frequency profile of dual-aspect observation

机译：基于双向观测的多普勒频率分布的进样目标特征提取算法

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In ballistic missile defense, using precession parameters is an effective way to determine warheads from decoys. Due to the geometric theory of diffraction, the backscattered field from a smooth object for a microwave radar consists of contributions from only isolated scattering centers. Further, thanks to the short wavelength of the laser, the ladar could obtain complete Doppler information of illuminated parts of precessing targets. On the basis of modeling the observation geometry of a rotating target with precession, a novel method for extracting precession parameters using coherent ladar based on a Doppler frequency profile (DFP) of dual-view observation is first proposed, to the best of our knowledge. By analyzing the periodic changes of bandwidth of a cone-shaped precessing object, we indicate that the sequence of DFP bandwidth can be approximate to a sinusoid function, based on which the precession period can be obtained through sinusoidal fitting. The precession angle can be obtained by combining dual-aspect receiving observation. A laboratory experiment verified the effectiveness of the proposed algorithm, and the errors of extracted parameters are about 10%. (C) 2019 Optical Society of America

机译：在弹道导弹防御中，使用预示参数是从诱饵中确定弹头的有效方法。由于衍射几何理论，微波雷达的光滑对象的反向散射场包括仅来自孤立的散射中心的贡献。此外，由于激光的短波长，LADAR可以获得精确靶的照明部分的完整多普勒信息。基于对旋转目标的观察几何进行模拟，首先提出了一种基于双视图观察的多普勒频率曲线（DFP）来提取预选参数的新方法，以至于我们的知识。通过分析锥形光学对象的带宽的周期性变化，指示DFP带宽的序列可以近似于正弦函数，基于能够通过正弦配件获得预测时段。通过组合双方面接收观察可以获得预流角度。实验室实验验证了所提出的算法的有效性，提取的参数的误差约为10％。（c）2019年光学学会

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来源
《Applied optics》 |2019年第17期|共6页
作者
Wang Ning; Mo Di; Song Ziqi; Wang Ran; Wu Yirong;
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Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China;

Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China;

Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China;

Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China;

Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China;

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Feature extraction algorithm of a precession target based on a Doppler frequency profile of dual-aspect observation

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