空中目标意图识别是战场态势评估的一个重要部分, 它直接关系到指挥员的作战决策。针对复杂战场环境下目标信息的多源性和不确定性, 提出了一种基于置信规则库(BRB)和证据推理(ER)的目标意图识别方法。首先, 建立了一种新的融合目标多源信息的BRB-ER意图识别模型; 其次, 建立了多参数优化模型优化系统初始参数, 以提高识别精度。最后, 采用某舰艇实际测得的目标信息对该方法进行了验证, 结果表明, 提出的方法能有效对空中目标意图进行识别。

Aerial target intention recognition is an important part of the battlefield situation assessment, which is directly related to the operational decision-making of the commanders. However, the target's information measured in a complicated combat field is from multiple sources and involves many uncertain factors. In this paper, an aerial target intention recognition approach is proposed based on Belief-Rule-Base (BRB) and Evidential Reasoning (ER). Firstly, a new target intention recognition model based on BRB-ER for multi-source information fusion is presented. Then, a multi-parameter optimization model is established to optimize the initial parameters for improving the recognition precision. Finally, a case study is examined to validate the efficiency of the proposed approach. The result shows that it can recognize the aerial targets'intentions precisely.