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Phase adjustment for extraction of micro-motion information of ballistic targets

机译:弹道目标微观信息提取的相位调整

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Micro-motion features are critical to the recognition of ballistic targets since these targets may be similar in appearances, sizes, and electromagnetic properties. The micro-motion information can be extracted by the Doppler analysis of the radar echoes. However, the existing studies mainly concentrate on the extraction of the micro-Doppler information and pay little attention to translation compensation, which is indispensable for their extractions. In this paper, a method based on the minimization of the entropy of the Doppler spectrum is proposed to accomplish translation compensation. This method works even if the Pulse Repetition Frequency(PRF) is less than the bandwidth of the Doppler spectrum. Moreover, this method can be simply implemented because entropy can be easily calculated even for wrapped spectrum. The results show that the translational Doppler phase can be well removed with this algorithm.
机译:微动特征对于识别弹道目标是至关重要的,因为这些靶在外观,尺寸和电磁特性中可能类似。 可以通过雷达回波的多普勒分析来提取微动信息。 然而,现有的研究主要集中在微多普勒信息的提取上,并几乎没有注意翻译补偿,这对于他们的提取是必不可少的。 在本文中,提出了一种基于最小化多普勒频谱熵的方法来实现翻译补偿。 该方法即使脉冲重复频率(PRF)小于多普勒频谱的带宽,也可以使用。 此外,可以简单地实现该方法,因为即使对于包频谱也可以容易地计算熵。 结果表明,使用该算法可以很好地移除平移多普勒阶段。

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