基于领域知识的海上编队线型队形识别  

Recognition of naval fleet line type formation based on domain knowledge

作　　者：冷画屏[1] 关庆云[1] 吴晓锋[1] 

机构地区：[1]海军兵种指挥学院,广东广州510430

出　　处：《舰船科学技术》2013年第2期103-106,共4页Ship Science and Technology

摘　　要：编队队形是达成海上编队战术意图的重要手段,因此识别海上目标的编队队形是判断其作战意图的有效方法之一。本文从系统研究海上编队线型队形的领域特征入手,分析了海上编队线型队形的队列要素及计算方法,进而提出了海上编队线型队形的模板表示方法。在上述基础上,建立了识别队形所需要的坐标变换、队列方位等关键参数计算的数学模型,提出了基于队列方位的队列线聚类算法。最后设计了便于计算机编程实现的详细识别算法步骤,从而构建了基于领域特征的编队队形识别算法。Formation is an important means to realize naval fleet tactical intention. So recognition of naval fleet formation is one of the effective methods to discrimination its tactical intention. Starting with systematic study on domain knowledge of naval fleet line type formation, the queue elements of formation and their calculation methods are analyzed and the template＇s representation method of naval fleet line type formation is put forward. Based on above analyses, we established coordinate transformation and queue bearing calculation mathematic models that formation recognition requires. And the formation line clustering algorithm based on formation bearing is put forward. At last, the detail algorithm steps are designed in order to convenient for computer implementation, so the recognition algorithm of naval fleet line type formation based on domain knowledge is established.

关 键 词：海上编队 意图识别 队形识别 

分 类 号：E925.6[军事—军事装备学] TP391.4[兵器科学与技术—武器系统与运用工程]