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0.3467降为0.1757,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。
Air intention recognition is the key to the transition from the information domain to the cognitive domain,serving as the basis for command and decision making in air defense operations,as well as the prerequisite and foun⁃dation for battlefield cognition and intelligent decision making.It has always been considered the core content of battle⁃field situational awareness.However,existing research mostly focuses solely on the accuracy of intention recognition,without considering whether the misjudgment costs of intention recognition are equivalent.Air target intention recogni⁃tion should consider both accuracy and cost sensitivity.To solve the problem of different misjudgments that may cause different losses to our side,a new deep learning model(GRU-FCN)for cost sensitive aerial target intention recogni⁃tion is designed based on gated cyclic units and fully convolutional networks,and a cost sensitive improvement strat⁃egy is also proposed.Experimental analysis shows that the accuracy of the GRU-FCN model reaches 98.57%,sur⁃passing other aerial target intention recognition models in the comparative experiment by 2.24%.After incorporating the cost sensitive improvement strategy,the overall misjudgment cost has been reduced from 0.3467 to 0.1757,en⁃suring that the accuracy meets the requirements while also possessing the ability to recognize cost sensitive intentions.
作者
丁鹏
宋亚飞
DING Peng;SONG Yafei(Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China)
出处
《航空学报》
EI
CAS
CSCD
北大核心
2023年第24期171-186,共16页
Acta Aeronautica et Astronautica Sinica
基金
国家自然科学基金(61806219,61703426,61876189)
陕西省科学基金(2021JM-226)
陕西省高校科协青年人才托举计划(20190108,20220106)
陕西省创新能力支撑计划(2020KJXX-065)。
作者简介
通信作者:宋亚飞.E-mail:yafei_song@163.com。
