基于粗糙集-信息熵的辐射源威胁评估方法

范翔宇; 王红卫; 索中英; 陈游; 杨远志

doi:10.13700/j.bh.1001-5965.2015.0663

基于粗糙集-信息熵的辐射源威胁评估方法

doi: 10.13700/j.bh.1001-5965.2015.0663

1.
空军工程大学航空航天工程学院, 西安 710038
2. 西北工业大学电子信息学院, 西安 710072
3. 空军工程大学理学院, 西安 710051

基金项目: 航空科学基金（20152096019，20145596025）

详细信息

作者简介:
范翔宇,男,硕士研究生。主要研究方向:信息与通信工程、电子对抗理论与技术。Tel.:029-84787835-803。E-mail:panda0077@163.com;王红卫,男,博士,副教授。主要研究方向:信息与通信工程、电子对抗理论与技术。Tel.:029-84787835-801。E-mail:hww0818@163.com;索中英,女,博士,讲师。主要研究方向:系统工程、信息系统工程与智能决策。E-mail:1070444988@qq.com

通讯作者:
王红卫,Tel.:029-84787835-801,E-mail:hww0818@163.com

中图分类号: TN97
计量
- 文章访问数: 1001
- HTML全文浏览量: 77
- PDF下载量: 528
- 被引次数: 0
出版历程
- 收稿日期: 2015-10-14
- 网络出版日期: 2016-08-20

Radiator threat evaluating method based on rough set and information entropy

1.
Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
2. College of Electronic and Information, Northwestern Polytechnical University, Xi'an 710072, China
3. College of Science, Air Force Engineering University, Xi'an 710051, China

摘要

摘要: 为满足复杂电磁环境下战机对辐射源威胁等级判定算法的需求，将粗糙集理论引入对雷达辐射源威胁评估中，并结合信息熵理论构建一套完备的计算威胁度量值的数据处理模型，实现对辐射源威胁程度的定量表示，直观地评估辐射源的威胁程度。经典粗糙集理论难以应对在没有决策信息条件下的决策问题，采用信息熵的方法求取最大权重属性替代决策属性，拓展粗糙集的适用范围。模型直接基于数据驱动得到辐射源的威胁度量值，易于实现并具备良好的时效性，减少系统对先验信息的要求与主观赋值带来的影响。仿真结果表明,该方法可以快速、准确地实现对辐射源威胁的评估。
- 粗糙集 /
- 信息熵 /
- 威胁度量 /
- 属性权重 /
- 数据驱动
Abstract: In order to meet the need of threat ranking arithmetic of air radar emitter in complex electronic environment, the rough set theory is introduced into radar radiator threat evaluation. A self-contained data processing model for computing threat metric values is established to realize the quantitative representation of the radiator threat degree, thus allowing evaluating the threat degree of emitter straightforward. The information entropy is applied to determine the attribute with the maximal weight instead of decision one, solving the decision-making problem when there is no prior knowledge, which can be used to extend the range of application of classical rough set. This model is based on data-boost method to acquire the radiator threat metric values directly, which is easily realized and has favorable time-efficient feature. The method reduces the demand of system for prior information and avoids the effect introduced by subjective assignments. The simulation results show that the method has good ability to accomplish target threat assessment fleetly and exactly.
- rough set /
- information entropy /
- threat metric /
- attribute weight /
- data-boost

HTML全文

参考文献(19)

[1]	姜宁,胡维礼,孙翱.辐射源威胁等级判定的模糊多属性方法[J].兵工学报,2004,25(1):56-59.JIANG N,HU W L,SUN A.Fuzzy multiattribute method of emitter threatening grade evaluation[J].Acta Armamentarii,2004,25(1):56-59(in Chinese).
[2]	黄大荣,郭安学,李云生,等.基于专家知识属性重要度的集群目标威胁评估方法[J].兵工学报,2009,30(10):1357-1362.HUANG D R,GUO A X,LI Y S,et al.An object-group threat assessment method based on attribute significance of multi-field expert systems[J].Acta Armamentarii,2009,30(10):1357-1362(in Chinese).
[3]	张媛,刘文彪,张立民.基于主客观综合赋权的CGF态势评估建模研究[J].系统工程与电子技术,2013,35(1):85-90.ZHANG Y,LIU W B,ZHANG L M.Situation assessment modeling for CGF based on the subject and objective integrated weight[J].Systems Engineering and Electronics,2013,35(1):85-90(in Chinese).
[4]	CHEN J,YU G H,GAO X G.Cooperative threat assessment of multi-aircrafts based on synthetic fuzzy cognitive map[J].Shanghai Jiao Tong University(Science),2012,17(2):228-232.
[5]	潘红华,王建明,朱森,等.目标威胁判断的模糊模式识别模型[J].兵工学报,2004,25(5):576-580.PAN H H,WANG J M,ZHU S,et al.A fuzzy pattern recognition model for the threat evaluation of targets[J].Acta Armamentarii,2004,25(5):576-580(in Chinese).
[6]	XU Y J,WANG Y C,MIU X D.Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets[J].Journal of Systems Engineering and Electronics,2012,23(6):891-897.
[7]	陈洁钰,姚佩阳,王勃,等.基于结构熵和IGSO-BP算法的动态威胁评估[J].系统工程与电子技术,2015,37(5):1076-1083.CHEN J Y,YAO P Y,WANG B,et al.Dynamic threat assessment based on structure entropy and IGSO-BP algorithm[J].Journal of Systems Engineering and Electronics,2015,37(5):1076-1083(in Chinese).
[8]	王改革,郭立红,段红,等.基于萤火虫算法优化BP神经网络的目标威胁估计[J].吉林大学学报(工学报),2013,43(4):1064-1069.WANG G G,GUO L H,DUAN H,et al.Target threat assessment using glowworm swarm optimization and BP neural network[J].Journal of Jilin University(Engineering and Technology Edition),2013,43(4):1064-1069(in Chinese).
[9]	郭辉,徐浩军,刘凌.基于回归型支持向量机的空战目标威胁评估[J].北京航空航天大学学报,2010,36(1):123-126.GUO H,XU H J,LIU L.Target threat assessment of air combat based on support vector machines for regression[J].Journal of Beijing University of Aeronautics and Astronautics,2010,36(1):123-126(in Chinese).
[10]	李姜,郭立红.基于改进支持向量机的目标威胁估计[J].光学精密工程,2014,22(5):1354-1362.LI J,GUO L H.Target threat assessment using improved SVM[J].Optics and Precision Engineering,2014,22(5):1354-1362(in Chinese).
[11]	FENG Z Q,LIU C G,HUANG H.Knowledge modeling based on interval-valued fuzzy rough set and similarity inference:Prediction of welding distortion[J].Journal of Zhejiang University-Science C (Computers & Electronics),2014,15(8):636-650.
[12]	WANG J,PENG J X,LIU O.Density-based rough set model for hesitant node clustering in overlapping community detection[J].Journal of Systems Engineering and Electronics,2014,25(6):1089-1097.
[13]	李俊,孟涛,张立新,等.基于粗糙集规则提取的导弹武器质量性能评估方法研究[J].兵工学报,2013,34(12):1529-1535.LI J,MENG T,ZHANG L X,et al.Research on evaluation method for quality and performance of missile weapon based on rough set rule extraction[J].Acta Armamentarii,2013,34(12):1529-1535(in Chinese).
[14]	樊冰,曾瑛,唐良瑞.基于信息熵的电力通信网脆弱性评价方法[J].电子与信息学报,2014,36(9):2138-2144.FAN B,ZENG Y,TANG L R.Vulnerability assessment of power communication network based on information entropy[J].Journal of Electronics & Information Technology,2014,36(9):2138-2144(in Chinese).
[15]	王展,颜云辉,焦学勇.基于灰色理论的迷彩伪装多指标综合评价[J].兵工学报,2013,34(10):1250-1257.WANG Z,YAN Y H,JIAO X Y.Multi-index comprehensive evaluation of camouflage based on gray theory[J].Acta Armamentarii,2013,34(10):1250-1257(in Chinese).
[16]	索中英,程嗣怡,袁修久,等.优势决策信息系统规则获取方法及应用[J].兵工学报,2015,36(3):539-545.SUO Z Y,CHENG S Y,YUAN X J,et al.Rule acquisition method and application of dominance decision-making information system[J].Acta Armamentarii,2015,36(3):539-545(in Chinese).
[17]	文莹,肖明清,王邑,等.基于信息熵属性约简的航空发动机故障诊断[J].仪器仪表学报,2012,33(8):1773-1778.WEN Y,XIAO M Q,WANG Y,et al.Aero-engine fault diagnosis based on information entropy attribute reduction[J].Chinese Journal of Scientific Instrument, 2012,33(8):1773-1778(in Chinese).
[18]	张文修,仇国芳. 基于粗糙集的不确定决策[M]. 北京:清华大学出版社,2006:26-27.ZHANG W X,QIU G F.Uncertain decision making based on rough sets[M]. Beijing:Tsinghua University Press,2006:26-27(in Chinese).
[19]	王睿甲,王星,程嗣怡,等.基于脉冲样本图的机载RWR/ESM辐射源威胁评估[J].电光与控制,2015,22(6):1-8.WANG R J,WANG X,CHENG S Y,et al.Airborne RWR/ESM threaten assessment of radiation source based on the pulse sequence pattern[J].Electronics Optics & Control,2015,22(6):1-8(in Chinese).