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.