给出了一种新的分布式多传感器智能特征信息融合系统结构，利用模糊神经网络技术把环境信息和专家语言信息引入融合系统，提出了一种新的智能特征信息融合算法．同时，利用红外、雷达、敌我识别器等多传感器信息对自动目标识别问题进行了仿真研究．结果表明，新的智能融合算法能较大程度地提高运算速度，并具有较强的抗环境干扰能力和较高的融合系统可靠性 A new distributed multi-sensor intelligent feature information fusion system architecture is proposed. By introducing the environmental information and expert language information into the fusion system using fuzzy neural network technology, a new intelligent feature information fusion algorithm is proposed. At the same time, the problem of automatic target recognition is simulated by using multi-sensor information such as infrared, radar, enemy-friend recognizer and so on. The results show that the new intelligent fusion algorithm can greatly improve the computing speed, and has a strong anti-environmental interference ability and high integration system reliability