基于复杂网络理论的编队电磁兼容网络优化

李帆; 丁锦; 沈耿彪; 赵建辉

doi:10.11999/JEIT160494

基于复杂网络理论的编队电磁兼容网络优化

doi: 10.11999/JEIT160494

基金项目:

国家自然科学基金(51574012)

计量
- 文章访问数: 1523
- HTML全文浏览量: 148
- PDF下载量: 422
- 被引次数: 0
出版历程
- 收稿日期: 2016-05-16
- 修回日期: 2016-09-06
- 刊出日期: 2017-03-19

Optimization of Electromagnetic Compatibility Network of Formation Based on Complex Network Theory

Funds:

The National Natural Science Foundation of China (51574012)

摘要

摘要: 编队作战时，电子设备间的电磁辐射干扰严重制约信息化作战效能。合理管控电磁频谱，优化频谱资源的使用意义重大。传统的随机优化算法存在优化速率慢的问题。该文基于复杂网络理论建立了编队电磁兼容网络模型；以综合网络收益和成本的网络效能值最大为优化目标，提出一种基于复杂网络节点重要度的电磁兼容网络规则优化算法。理论分析与仿真结果表明：所提出的规则优化算法与现常用的随机优化算法相比，网络效能优化速率提升了13.35%，优化性能更佳，可望为实际应用提供一定理论借鉴。
- 电磁兼容 /
- 复杂网络 /
- 网络效能 /
- 网络优化
Abstract: It is of great importance to control the electromagnetic spectrum and optimize the use of spectrum resource because electromagnetic interferences between different devices may cause vicious influence while combating in formation. Traditional random algorithms for the optimization of spectrum use suffer from painfully slow optimization speed. In this paper, a model of ElectroMagnetic Compatibility (EMC) network in the case of formation is developed based on the complex network theory. By maximizing the network performance in terms of both benefit and cost, this paper proposes a rule optimization algorithm of EMC network considering node importance. Both theory analysis and simulation results show that optimization speed is increased by 13.35% and the optimization performance is enhanced. The proposed algorithm not only accelerates the optimization for the use of spectrum resource but also provides a theoretical reference for practical applications.
- Electromagnetic compatibility /
- Complex network /
- Network performance /
- Network optimization

HTML全文

参考文献(31)

杨保平, 陈永光, 孙光, 等. 一种电磁频谱管理盲检测技术[J]. 电波科学学报, 2014, 29(4): 786-791. doi: 10.13443/j.cjors. 2013081501.

YANG Baoping, CHEN Yongguang, SUN Guang, et al. A blind monitoring technology for electromagnetic spectrum management[J]. Chinese Journal of Radio Science, 2014, 29(4): 786-791. doi: 10.13443/j.cjors.2013081501.

WATTS D J and STROGATZ S H. Collective dynamics of small-world networks[J]. Nature, 1998, 393(6684): 440-442.

BARABSI A L and ALBERT R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439): 509-512.

CARES J R, CHRISTIAN R J, and MANKE R C. Fundamentals of distributed, networked military forces and the engineering of distributed systems[R]. Naval Undersea Warfare Center Newport DIV RI, 2002.

ALIDADE. Lcs platform and associated off board systems structure and composition topological analysis[R]. 2009.

DEKKER A H. Network topology and military performance [C]. 2005 International Congress on Modeling and Simulation, Modeling and Simulation Society of Australia and New Zealand, Australia, 2005: 2174-2180.

DEKKER A H．C4ISR architectures, social network analysis and the FINC methodology: an experiment in military organizational structure[R]. DSTO Electronics and Surveillance Research Laboratory DSTO-GD-O313, 2002.

KALLONIATIS A and MACLEOD I. Formalization and agility in military headquarters planning[J]. The International C2 Journal, 2010, 4(1): 1-41.

ALBERTS D S. Agility, focus and convergence: adapting C2 to the 21st century[J]. The International C2 Journal, 2007, 1(1): 1-30.

WILLIAMS A P. Implications of operationalizing a comprehensive approach: defining what interagency interoperability really means[J]. The International C2 Journal, 2010, 4(1): 1-30.

张强, 李建华, 沈迪, 等. 复杂网络理论的作战网络动态演化模型[J]. 哈尔滨工业大学学报, 2015, 47(10): 122-128. doi: 10.11918/j.issn. 0367-6234. 2015.10.020.

ZHANG Qiang, LI Jianhua, SHEN Di, et al. Dynamic evolution model of operational network based on complex network theory[J]. Journal of Harbin Institute of Technology, 2015, 47(10): 122-128. doi: 10.11918/j.issn.0367-6234.2015. 10.020.

吴忠杰, 张耀中, 杜支强, 等. 复杂网络理论下军事体系对抗的研究进展[J]. 复杂系统与复杂性科学, 2014, 11(2): 52-61. doi: 10.13306 /j.1672-3813.2014.02.007.

WU Zhongjie, ZHANG Yaozhong, DU Zhiqiang, et al. The research progress of CNT-based military forces system of systems[J]. Complex Systems and Complexity Science, 2014, 11(2): 52-61. doi: 10.13306 /j.1672-3813.2014.02.007.

颜骥, 李相民, 刘立佳, 等. 机群多编队作战网络自同步[J]. 系统工程与电子技术, 2014, 36(8): 1566-1572. doi: 10.3969/j. issn.1001-506X.2014.08.19.

YAN Ji, LI Xiangmin, LIU Lijia, et al. Combat network synchronization of air fleet formation[J]. Systems Engineering and Electronics, 2014, 36(8): 1566-1572. doi: 10.3969/j.issn. 1001-506X.2014.08.19.

王步云, 赵晓哲, 王军. 水面舰艇编队反舰作战中作战网络结构的优化[J]. 系统工程理论实践, 2013, 33(9): 2354-2361.

WANG Buyun, ZHAO Xiaozhe, and WANG Jun. Optimizing the combat network on the anti-ship of vessel formation[J]. System Engineering Theory and Practice, 2013, 33(9): 2354-2361.

贾珺, 吴元立, 贺筱媛, 等. 作战协同关系超图模型[J]. 国防科技大学学报, 2015, 37(3): 185-190. doi: 10.11887/j.cn. 201503030.

JIA Jun, WU Yuanli, HE Xiaoyuan, et al. Operation cooperative relation modeling based on hypergraphs[J]. Journal of National University of Defense Technology, 2015, 37(3): 185-190. doi: 10.11887/j.cn.201503030.

刘胜, 张兰勇, 张利军. 基于小波分析的电磁干扰测量技术研究[J]. 电子与信息学报, 2010, 32(5): 1229-1233. doi: 10.3724/ SP.J.1146.2009.00631.

LIU Sheng, ZHANG Lanyong, and ZHANG Lijun. Operation cooperative relation modeling based on hypergraphs[J]. Journal of Electronics Information Technology, 2010, 32(5): 1229-1233. doi: 10.3724/SP.J.1146.2009.00631.

王伦文, 孙伟, 潘高峰. 一种电磁环境复杂度快速评估方法[J]. 电子与信息学报, 2010, 32(12): 2942-2947. doi: 10.3724/SP.J. 1146.2010.00063.

WANG Lunwen, SUN Wei, and PAN Gaofeng. An evaluating quickly method for electromagnetic environment complexity[J]. Journal of Electronics Information Technology, 2010, 32(12): 2942-2947. doi: 10.3724/SP.J.1146. 2010.00063.

周倜. 海战场电磁态势生成若干关键技术研究[D]. [博士论文], 哈尔滨工程大学, 2013.

ZHOU Ti. Research on several key techniques of electromagnetic situation generation in sea battlefield[D]. [Ph.D. dissertation], Harbin Engineering University, 2013.

SUN Y, MBURU L, and WANG S. Analysis of community properties and node properties to understand the structure of the bus transport network[J]. Physica A: Statistical Mechanics and its Applications, 2016, 450: 523-530. doi: 10.1016/j.physa.2015.12.150.

EFE B. An integrated fuzzy multi criteria group decision making approach for ERP system selection[J]. Applied Soft Computing, 2016, 38: 106-117. doi: 10.1016/j.asoc.2015.09. 037.

NIE T, GUO Z, ZHAO K, et al. New attack strategies for complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2015, 424: 248-253. doi: 10.1016/j.physa.2015. 01.004.

SHEIKHAHMADI A, NEMATBAKHSH M A, and SHOKROLLAHI A. Improving detection of influential nodes in complex networks[J]. Physica A: Statistical Mechanics and its Applications, 2015, 436: 833-845. doi: 10.1016/j.physa. 2015.04.035.

施引文献

资源附件(0)

访问统计