计算机应用 ›› 2014, Vol. 34 ›› Issue (6): 1834-1838.DOI: 10.11772/j.issn.1001-9081.2014.06.1834

• 行业与领域应用 • 上一篇    

复杂体制雷达辐射源信号特征的SPA-FAHP评估

朱斌1,2,金炜东2,余志斌2,朱建渠2,3   

  1. 1. 长江师范学院 物理学与电子工程学院,重庆 408100
    2. 西南交通大学 电气工程学院,成都 610031;
    3. 重庆科技学院 电气与信息工程学院,重庆 401331
  • 收稿日期:2013-12-12 修回日期:2014-01-21 出版日期:2014-06-01 发布日期:2014-07-02
  • 通讯作者: 朱斌
  • 作者简介:朱斌(1973-),男,重庆人,副教授,博士研究生,主要研究方向:雷达信号处理;金炜东(1959-),男,安徽桐城人,教授,博士生导师,博士,主要研究方向:智能信息处理、系统优化与仿真;余志斌(1976-),男,湖南长沙人,副教授,博士,主要研究方向:雷达信号处理;朱建渠(1972-),男,重庆人,讲师,博士研究生,主要研究方向: 高速列车安全性态特征提取。
  • 基金资助:

    国家自然科学基金资助项目;重庆市科委基础与前沿研究项目;重庆市教育委员会科学技术研究项目;重庆市涪陵区科委科技计划项目

Feature evaluation for advanced radar emitter signals based on SPA-FAHP

ZHU Bin1,2,JIN Weidong1,YU Zhibin1,ZHU Jianliang1,3   

  1. 1. School of Electrical Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
    2. School of Physics and Electronic Engineering, Yangtze Normal University, Chongqing 408100, China;
    3. College of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
  • Received:2013-12-12 Revised:2014-01-21 Online:2014-06-01 Published:2014-07-02
  • Contact: ZHU Bin
  • Supported by:

    Key Program of the National Natural Science Foundation;National Natural Science Foundation;Chongqing natural science foundation and cutting-edge research projects;Science research project of Chongqing education commission

摘要:

针对复杂体制雷达辐射源信号(ARES)特征评估缺乏有效手段和层次分析决策(AHP)过多依赖专家经验的问题,提出了复杂体制雷达辐射源信号特征的集对模糊层次评价模型(SPA-FAHP)。通过引入三角模糊数对传统层次分析法进行改进,并对复杂体制雷达辐射源信号特征评价指标体系的指标权重作模糊层次分析,以解决对雷达信号大容量数据进行评估时评判者存在不确定或者模糊判断的问题;再引入集对分析(SPA)理论对传统层次分析的专家决策矩阵进行改进,并对特征评估决策矩阵作同一度分析,以解决传统层次分析决策时过多依赖专家经验的问题。最后联合指标权重矩阵和决策同一度矩阵实现对复杂体制雷达辐射源信号特征的综合评估。计算结果表明该模型有效可行,能够更客观地实现对复杂体制雷达辐射源信号特征的分析和评估。

Abstract:

Concerning the lackness of effective means in the feature evaluation of Advanced Radar Emitter Signals (ARES), and the excessive dependence on expert experience in Analytic Hierarchy Process (AHP), a new feature evaluation model of ARES named SPA-FAHP was proposed based on Set Pair Analysis (SPA) and Fuzzy Analytic Hierarchy Process (FAHP). In order to solve the uncertainty or fuzzy judgement of the judge people when they evaluate the large-capacity data of radar emitter signals, the traditional AHP was improved through the introduction of triangular fuzzy numbers, and the index weights of ARES feature evaluation system were analyzed by FAHP. Then, the expert decision matrix of traditional AHP was made improvement and identical degree analysis through the introduction of SPA theory to solve the problem that the decisions of AHP rely on experience of experts too much. Finally, ARES features were made comprehensive evaluation through the combination of index weights matrix and identical degree matrix of the decision. The calculation results show that the model is effective and feasible. It can achieve the characteristic analysis and evaluation of ARES features more objectively.

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