基于置信规则库和证据推理的空中目标意图识别方法

Aerial Target Intention Recognition Approach Based on Belief-Rule-Base and Evidential Reasoning

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.