针对电磁环境具有动态演化的特点,提出了一种改进的复杂度定量评估方法。在评估指标集上,选取信息量变化率作为电磁环境演化特征的衡量参数。评估样本的获取结合搜索数据的时频分布,以聚类和Hough变换的方法快速估计信息量变化率。最后采用自适应神经模糊推理系统模型实现了电磁环境复杂度的定量评估。实验验证了所提方法的有效性。 In view of the dynamic evolution of the electromagnetic environment, an improved quantitative assessment method of complexity is proposed. In the evaluation index set, we choose the rate of change of information as a measure of the evolutionary characteristics of the electromagnetic environment. The acquisition of evaluation sample combines with the time-frequency distribution of search data, and quickly estimates the rate of change of information by clustering and Hough transform. Finally, the adaptive neuro-fuzzy inference system model is used to quantitatively evaluate the electromagnetic environment complexity. Experimental results verify the effectiveness of the proposed method.