提出一种基于自适应模糊控制的数据融合方法。利用反向传播学习算法对其参数进行优化 ,并针对杂波环境中的单目标跟踪问题进行了仿真研究。仿真结果表明 ,该方法计算量小 ,能较好地处理不确定信息 A data fusion method based on adaptive fuzzy control is proposed. Its parameters are optimized by using back propagation learning algorithm, and the single target tracking problem in clutter environment is simulated. The simulation results show that this method is less computationally intensive and can deal with uncertain information well