Abstract: Aimming at the problem of air target recognition with multiple characteristic indexes，a new fusion method based on the cosine of vector inclination is proposed.The method normalizes the feature vectors of the reference mode and sensor information，uses the vector inclination cosine of the reference mode and sensor information to determine the Basic Probability Assignment（BPA） for all possible targets’ evidence.The result of target recognition is presented according to the D-S evidence combination rule.The example analysis proves that the method is effective.

Key words: multi-sensor, information fusion, target recognition, evidence theory

摘要： 针对具有多个特征指标的空袭目标识别问题，利用向量夹角余弦提出了一种新的融合方法。该方法对参考模式和传感器获取信息的特征化向量进行规范化，利用传感器获取信息特征化向量与参考模式向量之间的夹角余弦，作为证据对各可能目标识别对象的基本概率指派，根据证据组合规则进行融合得到目标识别结果。实例分析验证了方法的有效性。

关键词: 多传感器, 信息融合, 目标识别, 证据理论