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Imaging and micro-Doppler analysis of vibrating target in multi-input–multi-output synthetic aperture radar

机译:多输入多输出合成孔径雷达中振动目标的成像和微多普勒分析

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摘要

The micro-Doppler (m-D) signature induced by the micro-motion dynamics of a component or structure on a radar target can provide additional information for classification, recognition, and identification of the object. Since the m-D signature from conventional synthetic aperture radar (SAR) is insufficient for further application, attention centred on multi-input-multi-output (MIMO) SAR. MIMO SAR employs diversity to improve SAR performance and shows great potential in applications including high-resolution wide-swath remote sensing, slow moving target detection, and three-dimensional (3D) imaging. Take vibration for research, because vibration is a basic kind of micro-motion and it occurs commonly such as vehicle engine. In this study, the vibration signal modelling is deduced and the m-D signature of vibrating target is analysed, based on short-term shift-orthogonal waveform in MIMO SAR. Simulations verify the influence of vibration parameters on imaging and time-frequency profile and show the m-D signature difference through different MIMO channels. The results demonstrate the potential of MIMO SAR for 3D micro-motion estimation.
机译:由雷达目标上的组件或结构的微运动动力学引起的微多普勒(m-D)签名可以为目标的分类,识别和标识提供其他信息。由于常规合成孔径雷达(SAR)的m-D签名不足以进一步应用,因此注意力集中在多输入多输出(MIMO)SAR上。 MIMO SAR利用分集来提高SAR性能,并在包括高分辨率宽范围遥感,慢速目标检测和三维(3D)成像在内的应用中显示出巨大潜力。以振动为研究对象,因为振动是微运动的基本类型,它通常在汽车发动机等中发生。在这项研究中,基于MIMO SAR中的短时正交正交波形,推导了振动信号建模并分析了振动目标的m-D签名。仿真验证了振动参数对成像和时频分布的影响,并通过不同的MIMO信道显示了m-D签名差异。结果证明了MIMO SAR在3D微运动估计中的潜力。

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