收稿日期:
2023-02-13
修回日期:
2023-02-27
接受日期:
2023-04-17
出版日期:
2023-12-25
发布日期:
2023-04-21
通讯作者:
宋亚飞
E-mail:yafei_song@163.com
基金资助:
Received:
2023-02-13
Revised:
2023-02-27
Accepted:
2023-04-17
Online:
2023-12-25
Published:
2023-04-21
Contact:
Yafei SONG
E-mail:yafei_song@163.com
Supported by:
摘要:
空中意图识别是防空作战指挥决策的基本依据,也是战场认知和智能决策的前提和基础。然而,现有的研究大单一地追求意图识别的准确率,没有考虑意图识别的误判代价是否等价。针对空中目标作战意图识别在现代防空作战决策中的重要作用和现阶段意图识别面临的没有考虑误判代价的问题,设计了一种针对空中目标时序数据的GRU-FCN模型提高识别能力,同时提出了一种针对代价敏感意图识别模型的CAIR改进方法。首先,通过分析防空作战的特点,获取空中目标的意图特征并进行预处理。其次,利用GRU模型捕捉时序特征,FCN模型提取数据中的复杂特征,加入CAIR算法使模型具备代价敏感意图识别的能力。最后,通过仿真实验、消融实验、对比实验验证了本文所提模型的效果。实验分析表明:GRU-FCN模型的准确率达到了98.57%,超过对比实验中其他空中目标意图识别模型2.24%;融入代价敏感改进策略后,整体误判代价由0.346 7降为0.175 7,在保证了准确率满足要求的同时具备了代价敏感意图识别的能力。
中图分类号:
丁鹏, 宋亚飞. 代价敏感的空中目标意图识别方法[J]. 航空学报, 2023, 44(24): 328551-328551.
Peng DING, Yafei SONG. A cost-sensitive method for aerial target intention recognition[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(24): 328551-328551.
表1
空中目标意图特征空间
意图特征 | 特征描述 | 数据类型 |
---|---|---|
高度 | 敌空中目标的海拔高度 | 数值型 |
敌我距离 | 敌空中目标与我军事中心的距离 | 数值型 |
速度 | 敌空中目标的飞行速度 | 数值型 |
加速度 | 敌空中目标的飞行加速度 | 数值型 |
航向角 | 敌空中目标飞行方向(正北方向为0°,顺时针方向一周分为360°) | 数值型 |
方位角 | 我方军事建筑到敌空中目标方向的方位角(正北方向为0°,顺时针方向一周分为360°) | 数值型 |
雷达反射面积 | 敌空中目标在我方雷达上的回波大小 | 数值型 |
敌机类型 | 敌战斗机的种类型号 | 非数值型 |
对空雷达状态 | 敌机的对空雷达是否开启 | 非数值型 |
对地雷达状态 | 敌机的对地雷达是否开启 | 非数值型 |
机动类型 | 敌机主要采取的机动方式 | 非数值型 |
干扰状态 | 敌机的干扰装置是否开启 | 非数值型 |
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