摘要
针对空中目标敌我识别过程中由于获取信息的不确定性及不完全性而导致决策识别出现的错分、误判及选择性判断问题,提出了基于三支决策的空中目标敌我识别方法。该方法采用多传感器信息融合技术,在决策层级引入三支决策理论,遵循贝叶斯最小风险准则,构造了基于三支理论的敌我识别模型。应用实例表明,该识别方法能够减小和规避错误决策带来的风险与损失,提高最终决策的准确性和实时性,切合现代战场复杂情况对时间复杂度的要求,更能适合战场的需要。
Aiming at the problem of misclassification, misjudgment and selectivity judgment in the process of air target identification caused by the uncertainty and incompleteness of information acquisition, an air target identification method based on three-way decisions theory was proposed. This method adopted multi-sensor information fusion technology, introduced three-way decisions theory at the decision-making level, and constructed the identification friend or foe model based on three decision theories according to bayesian minimum risk criterion. The application example showed that the identification method could reduce and avoid the risk and loss brought by the wrong decision, improved the accuracy and real-time of the final decision, met the requirements of time complexity in the complex situation of modern battlefield.
作者
庞梦洋
索中英
郑万泽
黄林
包壮壮
PANG Mengyang;SUO Zhongying;ZHENG Wanze;HUANG Lin;BAO Zhuangzhuang(Department of Basic,Air force Engineering University,Xi an 710051,China;Academic Research Office,Air force Engineering University,Xi an 710051,China)
出处
《探测与控制学报》
CSCD
北大核心
2020年第1期115-120,共6页
Journal of Detection & Control
基金
国家自然科学基金项目资助(61772021)。
关键词
空中目标识别
传感器融合
贝叶斯准则
三支决策
identification of air target
sensor fusion
Bayes rules
three-way decisions
