Evaluation of Air-defense C4ISR System Structure Based on Discrete-event Simulation

doi:10.3969/j.issn.1000-1093.2014.10.029

Abstract

Abstract: An approach to evaluate the air-defense C⁴ISR system in the consideration of relationship between communication network and information is proposed based on the discrete-event simulation. Various kinds of discrete events in the air-defense C⁴ISR are defined, and the event processing flows, logic relations and common basic data are presented. The evaluation indexes and their computation models are constructed for the air-defense C⁴ISR system, and some experiments are implemented to prove the effectiveness of the proposed method, in which the target detection probabilities and assignment rates of C⁴ISR systems with tree and network structures are compared in the same scenario.

Key words: system assessment and feasibility analysis, discrete-event simulation, air-defense system, C⁴ISR structure, system evaluation

CLC Number:

E917

DENG Ke-bo, CHENG Wen-di, LEI Ming, RAO Jia-ren. Evaluation of Air-defense C⁴ISR System Structure Based on Discrete-event Simulation[J]. Acta Armamentarii, 2014, 35(10): 1721-1728.

References

［1］ Alberts D S, Garstka J J, Stein F P. Network centric warfare: developing and leveraging information superiority［M］. Washingtong DC： Command and Control Research Program Publication Series, 1999.
［2］ Alberts D S. The agility advantage: a survival guide for complex enterprises and endeavors［M］.Washingtong DC：Command and Control Research Program Publication Series, 2011.
［3］ David A G, Swati D A, Michael J S.Widely distributed C⁴ISR［C］∥Defense Transformation and Net-Centric System. Orland, Florida, US: SPIE, 2007.
［4］ Jefferey R C.Distributed networked operations-the foundation of network centric warfare［M］. Newport：Alidade Press, 2005.
［5］孙屹. OPNET通信仿真开发手册［M］. 北京: 国防工业出版社, 2005.
SUN Yi. OPNET communication simulation development manual［M］. Beijing: National Defense Industry Press, 2005.(in Chinese)
［6］ Lindy E, Dimarogonas J, McConnell J, et al. Representing operational architectures into a modeling and environment for analyzing communications architectures［C］∥Military Communication Conference. Monterey CA: IEEE, 2004: 1456-1462.
［7］王智源, 丁泽中, 胡广水. 军事通信网络拓扑结构抗毁性仿真［J］. 计算机系统应用, 2010, 19(20): 109-113.
WANG Zhi-yuan, DING Ze-zhong, HU Guang-shui. Invulnerability simulation of military communication networks topology［J］. Computer Systems Applications, 2010, 19(20): 109-113.(in Chinese)
［8］ Li B Q, Si S K, Li B, et al. A method to generate C4ISR architecture framework and cascading failure of constructed network［C］∥2nd International Conference on Artificial Intelligence, Management Science and Electronic. Zhenzhou, China: IEEE, 2011: 34-37.
［9］张斌, 胡晓峰, 姜忠钦. 战场通信网络环境仿真研究［J］. 系统仿真学报, 2011, 23(1): 217-221.
ZHANG Bin, HU Xiao-feng, JIANG Zhong-qin. Study of battlefield communication networks environment simulation［J］. Journal of System Simulation, 2011, 23(1): 217-221. (in Chinese)
［10］ Dekker A H. C⁴ISR architectures, applying social network analysis concepts to military C⁴ISR architectures［J］. Connections, 2001, 24(3): 93-103.
［11］ Dekker A H. Applying social network analysis concepts to military C⁴ISR architectures［J］. Connections, 2002, 24(3): 93-103.
［12］路建伟, 姚增建, 王濛. 基于无标度网络的防空反导系统构建［J］. 指挥控制与仿真, 2013, 35(3): 10-13.
LU Jian-wei, YAO Zeng-jian, WANG Meng. Construction for air defense anti-missile based on scale-free networks［J］. Command Control & Simulation, 2013, 35(3): 10-13.(in Chinese)
［13］孙家平. 网络化防空系统研究［J］. 现代雷达, 2013, 35(5): 14-17.
SUN Jia-ping. A study on networked air defense system［J］. Modern Radar, 2013, 35(5): 14-17. (in Chinese)
［14］班克斯 J.离散事件系统仿真［M］.肖田元，范文慧，译.北京：机械工业出版社，2007.
Banks J. Discrete event system simulation［M］. XIAO Tian-yuan, FAN Wen-hui, translated. Beijing: China Machine Press, 2007. (in Chinese)
［15］丁鹭飞，陈建春. 雷达原理［M］.北京：电子工业出版社，2009.
DING Lu-fei, CHEN Jian-chun. Radar theory［M］. Bejing: Publishing House of Electronics Industry, 2009. (in Chinese)

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Evaluation of Air-defense C⁴ISR System Structure Based on Discrete-event Simulation

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