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Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (3): 600-611.doi: 10.23919/JSEE.2022.000058

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  • 收稿日期:2021-02-04 出版日期:2022-06-18 发布日期:2022-06-24

SE-DEA-SVM evaluation method of ECM operational disposition scheme

Luda ZHAO1(), Bin WANG1,2,*(), Jun HE1, Xiaoping JIANG1()   

  1. 1 College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
    2 Third Interdisciplinary Center (HeFei), National University of Defense Technology, Hefei 230037, China
  • Received:2021-02-04 Online:2022-06-18 Published:2022-06-24
  • Contact: Bin WANG E-mail:zhaoluda@nudt.edu.cn;49584951@qq.com;xiaoping.jiang@nudt.edu.cn
  • About author:|ZHAO Luda was born in 1992. He received his B.S. degree in radar countermeasures engineering from the Electronic Engineering Institute of the PLA, China, in 2015. He is currently a M.S. candidate with the Electronic Engineering Institute, National University of Defence Technology. His research interests include ECM operational analysis, combat mission planning, ECM effectiveness analysis, and modeling evaluation. E-mail: zhaoluda@nudt.edu.cn||WANG Bin was born in 1977. He received his B.S., M.S. and Ph.D. degrees in military operations research from the Electronic Engineering Institute of the PLA, in 1998, 2001, and 2004, respectively. He is currently an associate professor with the Department of the Third Interdisciplinary Center, National University of Defence Technology, Heifei, China. He is the deputy director of the Third Interdisciplinary Center of the National University of Defense Technology. His current research interests include operational planning, military operations research, effectiveness evaluation, modeling and simulation. E-mail: 49584951@qq.com||HE Jun was born in 1963. He received his B.S., M.S., and Ph.D. degrees in military operations research from the Electronic Engineering Institute of the PLA, in 1984, 1987, and 1991, respectively. He is currently a professor with the Department of Operational Commanding, National University of Defence Technology, Heifei, China. His current research interests include operational planning, military operations research, effectiveness evaluation, modeling and simulation. E-mail: 824717863@ qq.com||JIANG Xiaoping was born in 1987. He received his B.S. and M.S. degrees in control science and engineering from Harbin Institute of Technology, in 2010 and 2012, respectively. He received his Ph.D. degree in computer science and operations research from University of Nottingham, in 2020. He is currently a research fellow with the Department of Operational Commanding, National University of Defence Technology, Heifei, China. His current research interests include logistics optimization, heuristic algorithm, automatic control, traffic logistics, and scheduling. E-mail: xiaoping.jiang@nudt.edu.cn
  • Supported by:
    This work was supported by the Military Postgraduate Funding Project (JY2019C055) and Hunan Province Postgraduate Scientific Research Innovation Project (CX20200029).

Abstract:

Operational disposition of electronic countermeasures (ECM) is a hot topic in modern warfare research. Through fully analyzing the characteristics and shortcomings of the traditional operational disposition scheme, a super-efficient data envelopment analysis support vector machine (SE-DEA-SVM) method for evaluating the operational configuration scheme of ECM is proposed. Firstly, considering the subjective and objective factors affecting the operational disposition of ECM, the index system of operational disposition scheme is established, and we explain the solution method of terminal indexs. Secondly, the evaluation and algorithm process of SE-DEA-SVM evaluation method are introduced. In this method, the super-efficient data envelopment analysis (SE-DEA) model is used to calculate the weight of index system, and the support vector machine (SVM) method combined with the training samples of evaluation index is used to obtain the input-output model of evaluation value of combat configuration. Finally, by an example (obtaining five schemes), we verify the SE-DEA-SVM evaluation method and analyze the results. The efficiency analysis, comparison analysis, and error analysis of this method are carried out. The results show that this method is more suitable for military evaluation with small samples, and it has high efficiency, applicability, and popularization value.

Key words: electronic countermeasures (ECM), operational disposition, plan evaluation, super-efficiency data envelopment analysis (SE-DEA), support vector machine (SVM)