北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (7): 1307-1316.doi: 10.13700/j.bh.1001-5965.2019.0442

• 论文 • 上一篇    下一篇

一种参数区间交叉类型的目标识别方法

李双明1,2, 关欣1, 赵静1, 吴斌1   

  1. 1. 海军航空大学, 烟台 264001;
    2. 中国人民解放军 92941部队, 葫芦岛 125001
  • 收稿日期:2019-08-16 发布日期:2020-07-18
  • 通讯作者: 关欣 E-mail:gxtongwin@163.com
  • 作者简介:李双明 男,博士研究生。主要研究方向:目标识别技术。
    关欣 女,博士,教授,博士生导师。主要研究方向:信息融合、电子对抗及智能计算。
    赵静 女,博士。主要研究方向:证据理论。
    吴斌 男,博士研究生。主要研究方向:无线传感器网络。
  • 基金资助:
    国防科技卓越青年科学基金(2017-JCJQ-ZQ-003);泰山学者工程专项经费(ts201712072)

A methodology for target recognition with parameters of interval cross type

LI Shuangming1,2, GUAN Xin1, ZHAO Jing1, WU Bin1   

  1. 1. Naval Aviation University, Yantai 264001, China;
    2. Unit 92941 of PLA, Huludao 125001, China
  • Received:2019-08-16 Published:2020-07-18
  • Supported by:
    National Defense Science and Technology Excellence Youth Talent Fund (2017-JCJQ-ZQ-003); Taishan Scholar Engineering Special Fund (ts201712072)

摘要: 针对参数区间为交叉类型的目标识别问题,提出了基于直觉模糊集和云模型的逼近理想点(TOPSIS)识别方法。构建了包含个体类和交叉类的目标数据库模型,根据云模型的多步估计算法,得到未知目标相对已知目标类的确定度,提出了确定度向隶属度和非隶属度的转化方法,基于直觉模糊熵计算特征属性的动态权重,形成了去模糊距离测度的TOPSIS识别方法,应用于辐射源信号识别。仿真结果表明,所提方法对参数区间交叉类型的目标正确识别率较高,具有一定的实际应用价值。

关键词: 区间交叉, 直觉模糊集, 云模型, 动态权重, 逼近理想点 (TOPSIS)

Abstract: Aimed at the problem of target recognition with parameters of interval cross type, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for target recognition based on intuitionistic fuzzy set and cloud model is proposed in this paper. The target database model including individual class and cross class is constructed. According to the multi-step estimation algorithm for cloud model, the certainty degree of an unknown target over a known target class is obtained, and the transformation algorithm from certainty degree to membership and non-membership degree is proposed. The dynamic attribute weight is calculated based on intuitionistic fuzzy entropy. The TOPSIS recognition decision method of defuzzification distance measure is formed. The simulation results indicate that the proposed method has a high accuracy rate for target recognition with parameters of interval cross type and thus has a certain practical application value, when applied to radar emitter recognition.

Key words: interval cross, intuitionistic fuzzy set, cloud model, dynamic weight, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

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