关键词: 多传感器, 数据融合, 目标识别, 灰关联度

Abstract: arget recognition problem of multi-sensor with multiple characteristic indexes，a new fusion method data is proposed.The method uses the distance of confidence to improve the grey relational coefficient.By solving the optimal programming of maximizing the total square deviation of the confidence distance for all attributes，the weights of attributes are derived.Hence，the method of object recognition is given.The method can overcome the subjectivity of the weights acquisition of attributes，and improve the accuracy and trustworthy degree of target recognition.The simulated example proves the effectiveness of the method.

Key words: multi-sensor, data fusion, target recognition, grey relational degree