航空学报 > 2018, Vol. 39 Issue (9): 322082-322091   doi: 10.7527/S1000-6893.2018.22082

基于CEMD的旋翼微动目标杂波抑制方法

夏赛强, 向虎, 陈文峰, 杨军, 陈一畅   

  1. 空军预警学院, 武汉 430019
  • 收稿日期:2018-02-07 修回日期:2018-05-17 出版日期:2018-09-15 发布日期:2018-06-12
  • 通讯作者: 杨军 E-mail:yangjem@sina.com
  • 基金资助:
    国家自然科学基金(61671469)

Clutter suppression method for rotor micro-motion target based on CEMD

XIA Saiqiang, XIANG Hu, CHEN Wenfeng, YANG Jun, CHEN Yichang   

  1. Air Force Early Warning Academy, Wuhan 430019, China
  • Received:2018-02-07 Revised:2018-05-17 Online:2018-09-15 Published:2018-06-12
  • Supported by:
    National Natural Science Foundation of China (61671469)

摘要: 针对旋翼微动目标杂波抑制问题,研究了一种基于复数据经验模态分解(CEMD)的微动目标杂波抑制方法。首先,建立了地杂波背景下的旋翼微动目标信号模。然后,根据杂波和微动信号在时频域的差异性,基于CEMD和Gabor变换,通过新定义的不同本征模态函数(IMF)的能量所占总能量的比重,选择出微动信号占优所对应的几个IMF分量,并基于这些IMF对旋翼微动目标进行时域和时频域重构,实现旋翼微动目标和杂波的分离,达到抑制杂波提取微动目标回波的目的。最后,与常规杂波抑制方法进行了对比,仿真结果验证了所提方法的有效性。

关键词: 微动, 杂波抑制, Gabor变换, 复数据经验模态分解(CEMD), 本征模态函数(IMF)

Abstract: A method for clutter suppression of the micro-motion target is proposed based on Complex Empirical Mode Decomposition (CEMD). First, a model for the rotor micro-motion target signal mixed with the ground clutter is established. Second, the differences of the clutter and the micro-motion signal in the time-frequency domain are analyzed. Based on Gabor transform and CEMD, several Different Intrinsic Mode Functions (IMF) components when the micro-motion signal is superior are selected according to the proportion of the energy occupied by IMF in the total energy. The rotor micro-motion target in the time domain and time-frequency domain is then reconstructed to separate the clutter from the rotor micro-motion target and achieve the effect of clutter suppression. Finally, the method proposed is compared with the conventional method. Simulation results verify the effectiveness of the proposed method.

Key words: micro-motion, clutter suppression, Gabor transform, Complex Empirical Mode Decomposition (CEMD), Intrinsic Mode Functions (IMF)

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