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Method for automatically identifying PRI patterns of complex radar signals

机译:自动识别复杂雷达信号的PRI模式的方法<?显示[AQ =“”ID =“Q1”“?>

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摘要

Aimed at the problem of automatically identifying pulse repetition interval (PRI) patterns of complex radar signals, a novel method is proposed in this paper. The roughness, normalised mean jump energy, and Sp-curve characteristic are extracted as feature set based on the analysis of PRI sequences in time domain. Finally, the decision tree is employed to recognise different PRI patterns. The simulation results show that the algorithm has high recognition accuracy and good robustness to spurious pulses and pulse missing.
机译:旨在自动识别复杂雷达信号的脉冲重复间隔(PRI)模式的问题,本文提出了一种新方法。基于时域中PRI序列的分析,提取粗糙度,归一化平均跳跃能量和SP曲线特性。最后,使用决策树来识别不同的PRI模式。仿真结果表明,该算法具有高识别准确性和对杂散脉冲和脉冲缺失的良好鲁棒性。

著录项

  • 来源
    《The Journal of Engineering》 |2019年第20期|6975-6978|共4页
  • 作者单位

    Air Force Early Warning Acad Wuhan Hubei Peoples R China;

    Air Force Early Warning Acad Wuhan Hubei Peoples R China;

    Air Force Early Warning Acad Wuhan Hubei Peoples R China;

    Air Force Early Warning Acad Wuhan Hubei Peoples R China;

    Air Force Engn Univ Xian Shaanxi Peoples R China;

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  • 正文语种 eng
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