针对毫米波雷达照射条件下，逆合成孔径雷达成像过程中目标主体颤振引起的微多普勒效应对成像造成的干扰问题，在建立颤振目标成像模型、分析目标颤振对回波造成的微多普勒调制以及对成像的影响的基础上，提出了基于复数经验模式分解的颤振目标成像方法.该方法利用复数经验模式分解的自适应特性，将目标回波信号分解为多个不同频率的分量信号;进而采用复杂度的概念对各分量信号进行区分;并结合各分量信号所占的能量百分比，剔除微动信号分量，有效消除了由于目标颤振所造成的微多普勒调制.采用复杂度与能量百分比相互结合的方法有效地提高了准确度和空中颤振目标的成像质量.

In the process of inverse synthetic aperture radar imaging with the millimeter wave radar, the microDoppler effect caused by extensive fluttering in the target′s body may introduce interference into imaging. To solve this problem, an inverse synthetic aperture radar imaging model of a fluttering target was established, the effect on the imaging made by fluttering was analyzed. A novel inverse synthetic aperture radar imaging method for fluttering target was proposed, based on complexvalued empiricalmode decomposition algorithm. Firstly, taking advantage of the adaptivity of complexvalued empiricalmode decomposition, the target echo signal was decomposed into component signals of different frequency; then the concept of complexity was used to distinguish the component signals; finally the micro motion signal component was excluded according to comparison of all components′ energy percentage, and the microDoppler effect can be eliminated effectively. Using the combination of the concept of the complexity and the energy percentage, this method can improve the imaging precision. Simulations show the effectiveness of the proposed method.