电光与控制, 2022, 29 (11): 6, 网络出版: 2023-02-10  

融合物理与战术信息的空中目标综合识别

Air Target Integrated Identification with Physical and Tactical Information
作者单位
1 空军工程大学空管领航学院,西安 710000
2 中国人民解放军32145部队,河南 新乡 453000
3 中国人民解放军94754部队,浙江 嘉兴 314000
4 中国人民解放军93787部队,北京 102000
摘要
为满足联合作战背景下空中目标敌我识别(IFF)的需要, 提出一种融合物理与战术信息的空中目标综合识别方法。首先通过借鉴美军经验, 对该方法的基本理念进行介绍, 接着对其信息融合策略进行描述; 然后围绕该策略, 以证据理论和直觉模糊集为工具, 对该方法的同类信息融合、异类信息融合与多周期信息融合问题进行建模; 最后通过实例计算和对比分析验证该方法的可靠性。
Abstract
In order to meet the needs of IFF(Identification Friend or Foe) of air targets in joint operations,an integrated method of IFF of air targets is proposed,which combines physical and tactical information.Firstly,the basic idea of this method is introduced by referring to the experience of the US military,and then the information fusion strategy is described.Based on this strategy,the homogeneous information fusion, heterogeneous information fusion and multi-period information fusion of the method are modeled by using evidence theory and intuitionistic fuzzy sets.Finally,the reliability of the method is verified by case calculation and comparative analysis.
参考文献

[1] 吴强,姜礼平,季傲.基于模糊集和D-S证据理论的空中作战目标识别[J].指挥控制与仿真,2015,37(4):54-58.

[2] 徐浩,邢清华,王伟.基于DST-IFS的空中目标敌我属性综合识别[J].系统工程与电子技术,2017,39(8):1757-1764.

[3] 崇元,李加祥,艾葳,等.融合战术与修正物理特征的空中目标战术类型识别[J].火力与指挥控制,2016,41(12):150-154.

[4] 张维华,郭伟震,周莉.改进证据融合次序的目标识别算法[J].信息与控制,2018,47(5):621-626,640.

[5] 常玉婷,孙力帆,普杰信,等.基于改进证据支持度的多传感器空中目标识别[J].计算机仿真,2020,37(7):394-398.

[6] 卢莉萍,张晓倩.复杂环境下多传感器目标识别的数据融合方法[J].西安电子科技大学学报,2020,47(4):31-38.

[7] USA Joint Staff.Joint airspace control:joint publication 3-52[M].Washington D.C.:CreateSpace Independent Publishing Platform,2014: 1-69.

[8] 陈致远,沈堤,余付平,等.基于D-S证据理论的空中目标敌我识别研究综述[J].航空兵器,2021,28(3):28-50.

[9] U.S.Air Force.Airspace control:AFDD 3-52[M].Washington D.C.:CreateSpace Independent Publishing Platform,2011: 37-38.

[10] Army,Marine Crops,Navy,Air Force.Multi-service tactics,techniques,and procedures for a joint integtated air defense system[M].Washington D.C.:Air Land Sea Application Center,2004.

[11] 知远战略与防务研究所.美军战场空域控制[M].江阴:知远战略与防务研究所,2016: 35-39.

[12] 蒋雯,邓鑫洋.D-S证据理论信息建模与应用[M].北京:科学出版社,2018:9-11.

[13] 雷英杰,赵杰,路艳丽,等.直觉模糊集理论及应用[M].北京:科学出版社,2014:1-12.

[14] LI J P,YANG Q B,YANG B.Dempster-Shafer theory is a special theory case of vague sets theory[C]//Proceedings of the International Conference on Information Acquisition.Hefei: IEEE,2004:50-53.

[15] BUSTINCE H,BURILLO P.Vague sets are intuitionistic fuzzy sets[J].Fuzzy Sets and Systems,1996,79(3):403-405.

[16] 吴文华,宋亚飞,刘晶.直觉模糊框架内的证据动态可靠性评估及应用[J].计算机科学,2018,45(12): 160-165, 176.

[17] SONG Y F,WANG X D,LEI L,et al.Combination of interval-valued belief structures based on intuitionistic fuzzy set[J].Knowledge-Based Systems,2014,67:61-70.

[18] YAGER R R.An intuitionistic view of the Dempster-Shafer belief structure[J].Soft Computing,2014,18(11):2091-2099.

[19] 付耀文,贾宇平,杨威,等.传感器动态可靠性评估与证据折扣[J].系统工程与电子技术,2012,34(1):212-216.

[20] SONG Y F,WANG X D,LEI L,et al.An evidential view of similarity measure for Atanassov′s intuitionistic fuzzy sets[J].Journal of Intelligent & Fuzzy Systems,2016,31(6):1653-1668.

[21] DENG Y.Deng entropy[J].Chaos,Solitons & Fractals, 2016,91:549-553.

[22] WANG K.A new multi-sensor target recognition framework based on Dempster-Shafer evidence theory[J].International Journal of Performability Engineering,2018,14(6): 1224-1233.

[23] 臧翰林,李艳玲.基于D-S证据理论的直觉模糊群决策信息集结方法[J].计算机科学,2019,46(增刊1):102-105.

[24] 陈雁飞.基于证据理论的海上目标综合识别若干问题研究[D].哈尔滨:哈尔滨工程大学,2015.

陈致远, 沈堤, 余付平, 海静, 王超. 融合物理与战术信息的空中目标综合识别[J]. 电光与控制, 2022, 29(11): 6. CHEN Zhiyuan, SHEN Di, YU Fuping, HAI Jing, WANG Chao. Air Target Integrated Identification with Physical and Tactical Information[J]. Electronics Optics & Control, 2022, 29(11): 6.

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