[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

弹箭与制导学报 >

2018 , Vol. 38 >Issue 3: 46 - 50

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2018.03.011

导弹与制导技术

基于判别分析的空中目标作战意图识别

  • 尹翔 ,
  • 张萌 ,
  • 陈梦乔
展开
  • 陆航驻203所军事代表室,西安 710038

尹翔(1989-),男,河北晋州人,硕士,研究方向:武器系统。

收稿日期: 2017-09-13

  网络出版日期: 2025-05-30

基金资助

国家自然科学基金(61472441)

收起

Combat Intention Recognition of the Target in the Air Based on Discriminant Analysis

  • YIN Xiang ,
  • ZHANG Meng ,
  • CHEN Mengqiao
Expand
  • Military Representative Office of Army Aviation in No. 203 Institute, Xi'an 710038, China

Received date: 2017-09-13

  Online published: 2025-05-30

Fold

摘要

对敌方作战意图识别是战场态势评估的重要内容。文中基于人工智能领域中的模式识别技术,研究了地面防空作战的空中目标作战意图识别问题。首先,针对空中目标意图识别问题进行分析,建立了意图识别的数学模型;其次,对先验知识采用统计的方法,得到目标作战意图知识与规则库;然后,提出了基于判别分析的空中目标作战意图识别方法,建立目标意图识别规则。最后通过10个未知意图的目标进行意图识别对文中的方法进行说明与检验。

关键词： 意图识别; 作战意图; 空中目标; 知识与规则库

本文引用格式

尹翔 , 张萌 , 陈梦乔 . 基于判别分析的空中目标作战意图识别[J]. 弹箭与制导学报, 2018 , 38(3) : 46 -50 . DOI: 10.15892/j.cnki.djzdxb.2018.03.011

Abstract

Recognizing the enemy combat intention is an important part of battlefield situation assessment. Based on the pattern recognition technology of Artificial Intelligence, this paper studies the air target combat intention recognition problem in the ground defense operation. Firstly, the problem of air target intention recognition is analyzed, and the mathematical model of intention recognition is established. Secondly, the statistical method is used to deal with the prior knowledge, and rule base of target combat intention is obtained. Then, a combat intention recognition method based on the discriminant analysis method is proposed, and the target intention recognition rule is obtained. Finally, through recognizing 10 unknown intentions of targets on the battlefield situation, the proposed method is explained and tested.

Key words： intention recognition; combat intention; aerial target; knowledge base

[an error occurred while processing this directive]

参考文献

[1]
NOBEL D F Schema-based knowledge elicitation for planning and situation assessment aids[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1989, 19(3): 473-482.
[2]
LU Jie, LIU Bo, ZHANG Guangquan et al. A situation assessment approach using support vector machines as a learning tool[J]. International Journal of Nuclear Knowledge Management, 2008, 3(1): 82-97.
[3]
ZHU Y M, BENTABET L, DUPUIS O et al. Automatic determination of mass functions in Dempster-Shafer theory using fuzzy C-means and spatial neighborhood information for image segmentation[J]. Optical Engineering, 2002, 41(4): 760-770.
[4]
ZHANG Weixiong, HILL R. A template-based and pattern-driven application to situation awareness and assessment in virtual humans[C] // AGENTS. Proceedings of the Fourth International Conference on Autonomous Agents. New York: ACM, 2000: 116-123.
[5]
GENG Tao, ZHANG An, LU Guangshan et al. Consensus intuitionistic fuzzy group decision-making method for aircraft cockpit display and control system evaluation[J]. Journal of Systems Engineering and Electronics, 2013, 24(4): 634-641.
[6]
SU Xi, BAI Peng, DU Feifei et al. Application of Bayesian networks in situation assessment[C] // CCIS. Proceeding of 2011 Intelligent Computing and Information Science: Part A. S. l.]: Springer, 2011, 134: 643-648.
[7]
ZHANG Xianyong, MIAO Duoqian. Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing[J]. International Journal of Approximate Reasoning, 2013, 54(8): 1130-4148.
[8]
JIA Rui-Sheng, LIU Cong, SUN Hong-Mei et al. A situation assessment method for rock burst based on multi-agent information fusion[J]. Computers and Electrical Engineering, 2015, 45: 22-32.
[9]
HATZILYGEROUDIS I, PRENTZAS J. Integrating (rules, neural networks) and cases for knowledge representation and reasoning in expert systems[J]. Expert Systems With Applications, 2004, 27(1): 63-75.
[10]
陈剑彪, 孙华燕, 陈瑶瑶,等. 基于BRDF 模型的空中目标激光散射特性分析[J]. 兵器装备工程学报, 2016, 37(2): 115-118.
[11]
陆扬, 薛飞, 张世海,等. 双基地声纳混响建模分析[J]. 兵器装备工程学报, 2016, 37(6): 129-131, 152.
[12]
LAM W, BACCHUS F. Learning bayesian belief networks: an approach based on the MDL principle[J]. Computational Intelligence, 1994(3): 269-293.
[13]
WEBB AR, COPSEY K D. Statistical pattern recognition[M]. 3rd ed. New Jersey: Wiley, 2011: 68-75.
Options
文章导航

/

〈 〉

[an error occurred while processing this directive]