基于生成对抗网络的防空体系态势辅助分析

doi:10.12305/j.issn.1001-506X.2022.08.17

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (8): 2522-2529.doi: 10.12305/j.issn.1001-506X.2022.08.17

基于生成对抗网络的防空体系态势辅助分析

刘戎翔^1,², 吴琳¹, 谢智歌^3,*, 刘虹麟⁴

1. 国防大学联合作战学院, 北京 100091
2. 陆军防化学院, 北京 102205
3. 军事科学院, 北京 100091
4. 中国人民解放军海军参谋部, 北京 100036

收稿日期:2021-06-23 出版日期:2022-08-01 发布日期:2022-08-24
通讯作者: 谢智歌
作者简介:刘戎翔 (1991—), 男, 博士研究生, 主要研究方向为智能决策、态势分析|吴琳 (1974—), 男, 教授, 博士, 主要研究方向为计算机战争模拟、军事系统工程、复杂系统与网络|谢智歌 (1984—), 男, 助理研究员, 博士, 主要研究方向为机器学习、智能博弈|刘虹麟 (1990—), 男, 工程师, 硕士, 主要研究方向为体系仿真试验
基金资助:
国家自然科学基金面上项目(61403401);国家自然科学基金面上项目(61374179);国家自然科学基金面上项目(61273189);国家自然科学基金面上项目(61174156);国家自然科学基金面上项目(61174035);军民共用重大研究计划联合基金(U1435218)

Auxiliary situation analysis for air defense system based on generative adversarial network

Rongxiang LIU^1,², Lin WU¹, Zhige XIE^3,*, Honglin LIU⁴

1. Joint Operations College, National Defense University, Beijing 100091, China
2. Army Chemical Defense Institute, Beijing 102205, China
3. Academy of Military Sciences, Beijing 100091, China
4. Naval Staff Department the PLA, Beijing 100036, China

Received:2021-06-23 Online:2022-08-01 Published:2022-08-24
Contact: Zhige XIE

摘要/Abstract

摘要：

针对当前从体系视角对防空体系进行态势分析的模型较为缺乏, 且模型结果不易于指挥员分析理解的问题, 提出了基于生成对抗网络的防空体系态势辅助分析模型。首先, 通过图形化的方法对防空体系态势信息以及作战能力进行描述, 便于人类指挥员更好的理解。然后, 利用生成对抗网络模拟人类指挥员态势分析的过程, 从浅层态势特征推理得到防空体系能力图。最后, 利用多个指标对各类模型的结果进行对比。实验结果表明, 所提模型可以从体系视角进行分析, 得到防空体系能力图, 生成图像的准确率较其他模型至少提高34.1%。

关键词: 态势辅助分析, 防空体系, 生成对抗网络

Abstract:

Aiming at the lack of system perspective of the current situation analysis model for air defense system and the poor interpretability for commanders to analyze the results, this paper proposes an auxiliary situation analysis model based on generative adversarial network for air defense system. Firstly, the situational information and combat capability of the air defense system are described in a graphical method so that it is easily to interpret the result to human commanders. Secondly, using generative adversarial network to simulate the process of human commanders' situation analysis, which can obtain the capability map of air defense system from superficial situation feature. Finally, using multiple indicators to compare the results of various models. The experiment results show that the model proposed in this paper can analyze from the system perspective, and obtain the capability map of the air defense system. The accuracy of the generated image is at least 34.1% higher than other models.

Key words: auxiliary situation analysis, air defense system, generative adversarial network (GAN)

中图分类号:

TP183

刘戎翔, 吴琳, 谢智歌, 刘虹麟. 基于生成对抗网络的防空体系态势辅助分析[J]. 系统工程与电子技术, 2022, 44(8): 2522-2529.

Rongxiang LIU, Lin WU, Zhige XIE, Honglin LIU. Auxiliary situation analysis for air defense system based on generative adversarial network[J]. Systems Engineering and Electronics, 2022, 44(8): 2522-2529.

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模型名称	指标
模型名称	NRMSE	PSNR	SSIM
V+MLP	0.156 46	5.745 32	0.136 70
G+MLP	0.100 33	6.315 79	0.180 25
GAN+L1	0.026 85	8.731 06	0.301 17

α₁	α₂	指标
α₁	α₂	NRMSE	PSNR	SSIM
1	0	0.258 08	2.047 86	0.099 33
0	100	0.025 81	8.837 77	0.306 73
1	100	0.030 47	8.322 69	0.296 96
1	1 000	0.026 85	8.731 06	0.301 17
1	10 000	0.027 02	8.699 68	0.303 06

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基于生成对抗网络的防空体系态势辅助分析

Auxiliary situation analysis for air defense system based on generative adversarial network

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