Recognition method for tactical maneuver of target in autonomous close-in air combat
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摘要: 为了识别自主近距空战中敌机的战术动作,提出一个两级识别系统.该系统由基本动作识别和组合动作识别两部分组成.其中,基本动作识别采用模糊推理方法,并模拟飞行员的思维过程,用"模式记忆"方法平滑推理结果的抖动;组合动作识别以基本动作序列为输入,采用时间自动机组成并行结构,提取各组合动作的主要几何形态,使识别系统具有良好的可扩展性和鲁棒性.通过仿真对识别系统进行验证,结果表明该系统能有效地识别敌机的战术动作.Abstract: A two-stage recognition system was proposed for recognizing tactical maneuvers of target in autonomous close-in air combat, which included basic maneuver recognition and combinatorial maneuver recognition. Basic maneuvers were identified in first stage by fuzzy inference method. The chatter of outputs was smoothed by ‘mode memory- modeled upon the pilot reasoning process. Combinatorial maneuver recognition in second stage used parallel timed automata architecture, which was of excellent expansibility and robustness, to extract the primary geometry features of combinatorial maneuvers from sequences of basic maneuvers. The recognition system was validated by simulation. The result indicates that the recognition system can identify tactical maneuvers of target effectively.
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Key words:
- tactical maneuver /
- recognition /
- fuzzy reference /
- timed automata
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