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Spectral characteristics of mixed micro-doppler timefrequency data sequences in micro-motion and inertial parameter estimation of radar targets

机译:雷达目标微动和惯性参数估计中混合微多普勒时频数据序列的频谱特征

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摘要

Time variation of micro-Doppler (mD) frequency is an important representation of target's micro-motions and intrinsic attributes in radar signals. For free rigid targets consisting of multiple scatterers, mixed mD time-frequency (TF) data sequences based on two-dimensional TF distributions of mD signals demonstrates effectiveness and simplicity to estimate targets?? micromotion and inertial parameters. In this study the authors further explore the feasibility of the estimation method by studying the spectral characteristics of the mixed sequence. The construction of mixed mD TF data sequence is introduced, and then the analysis of its spectrum is conducted with the help of mathematical derivation and simulations. It is found that one of observation angles plays a leading role in relative amplitudes of spectral components, and could accordingly determine the optimal radar observation region for given micro-dynamic targets. It could contribute to the proper placement of radar station, and help identify some desired spectral components accurately in the blind condition for the purpose of parameter estimation of micro-dynamic targets.
机译:微多普勒(mD)频率的时变是雷达信号中目标微运动和固有属性的重要表示。对于由多个散射体组成的自由刚性目标,基于mD信号的二维TF分布的混合mD时频(TF)数据序列证明了估计目标的有效性和简便性。微动和惯性参数。在这项研究中,作者通过研究混合序列的光谱特性进一步探索了估计方法的可行性。介绍了混合mD TF数据序列的构建,然后借助数学推导和仿真对其频谱进行了分析。发现观察角之一在频谱分量的相对振幅中起主要作用,并且可以相应地确定给定微动力目标的最佳雷达观察区域。它可以有助于雷达站的正确放置,并有助于在盲状态下准确识别一些所需的光谱分量,以进行微动力目标的参数估计。

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  • 来源
    《Radar, Sonar & Navigation, IET》 |2014年第4期|275-281|共7页
  • 作者

    Wang J.; Lei P.; Sun J.; Hong W.;

  • 作者单位

    School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, People's Republic of China|c|;

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  • 正文语种 eng
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  • 入库时间 2022-08-17 13:26:43

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