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ZHOU Bin, WANG Qing, QUAN Heng-heng. Non-Threatening Degree Assessment Method of Sonar Targets Based on Multi-Source Information Fusion[J]. Journal of Unmanned Undersea Systems, 2018, 26(5): 439-443. doi: 10.11993/j.issn.2096-3920.2018.05.010
Citation: ZHOU Bin, WANG Qing, QUAN Heng-heng. Non-Threatening Degree Assessment Method of Sonar Targets Based on Multi-Source Information Fusion[J]. Journal of Unmanned Undersea Systems, 2018, 26(5): 439-443. doi: 10.11993/j.issn.2096-3920.2018.05.010

Non-Threatening Degree Assessment Method of Sonar Targets Based on Multi-Source Information Fusion

doi: 10.11993/j.issn.2096-3920.2018.05.010
  • Publish Date: 2018-10-31
  • [1] 韩崇昭, 朱洪艳, 段战胜. 多源信息融合[M]. 北京: 清华大学出版社, 2010.
    [2] 何友, 王国宏, 彭应宁, 等. 多传感器信息融合与应用[M]. 北京: 电子工业出版社, 2000.
    [3] Raffaele G, Parastoo A, Hassan G, et al. Multi-sensor Fu-sion in Body Sensor Networks: State-of-the-art and Res- earch Challenges[J]. Information Fusion, 2017, 35: 68-80.
    [4] Reda B, Didier C, Thanh-Long N, et al. Multi-sensor Inf- ormation Fusion: Combination of Fuzzy Systems and Evidence Theory Approaches in Color Recognition for the NAO Humanoid Robot[J]. Robotics and Autonomous Sy- stems, 2018, 100: 302-316.
    [5] 孙伟, 葛轶洲, 原玉婷, 等. 分布式检测融合在被动声呐浮标中的应用[J]. 通信对抗, 2016, 35(3): 23-27.
    Sun Wei, Ge Yi-zhou, Yuan Yu-ting, et al. Distributed De- tection Fusion Used on Passive SonoBuoy[J]. Communication Countermeasures, 2016, 35(3): 23-27.
    [6] 吕琳. 未来反潜战中的多基地声呐作战[J]. 电子世界, 2018(4): 109-111.
    [7] 王杰贵, 罗景青. 基于多目标多特征信息融合数据关联的无源跟踪方法[J]. 电子学报, 2004, 32(6): 1013-1016.
    Wang Jie-gui, Luo Jing-qing. Passive Tracking Based on Data Association with Information Fusion of Multi-Fea- ture and Multi-Target[J]. Acta Electronica Sinica, 2004, 32(6): 1013-1016.
    [8] 孙启臣, 郭伟震, 闫倩倩, 等. 一种基于灰关联分析的多目标跟踪算法[J], 鲁东大学学报, 2017, 33(1): 20- 25.
    Sun Qi-chen, Guo Wei-zhen, Yan Qian-qian, et al. A Multi-target Tracking Algorithm Based on Grey Relational Analysis[J]. Ludong University Journal(Natural Science Edition), 2017, 33(1): 20-25.
    [9] 孙伟, 尚金涛, 朱鲲. 一种新的多目标融合关联算法[J]. 声学与电子工程, 2016(3): 1-3.
    [10] 康健, 李一兵, 林云, 等. 基于证据理论的联合概率数据关联算法[J]. 系统工程与电子技术, 2013, 35(8): 1620-1626.
    Kang Jian, Li Yi-bing, Lin Yun, et al. Joint Probability Data Association Algorithm Based on Evidence Theory[J]. Systems Engineering and Electronics, 2013, 35(8): 1620- 1626.
    [11] 薛昌友, 李东鑫, 马暄, 等. 基于D-S证据理论的潜艇多源信息融合系统[J]. 舰船电子工程, 2008, 28(11): 27- 30.
    Xue Chang-you, Li Dong-xin, Ma Xuan, et al. Multi-Re- sources Data Fusion System of Submarine Based on D-S Evidential Reasoning[J]. Ship Electronic Engineering, 2008, 28 (11): 27-30.

     

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  • [1]
     [1] 韩崇昭, 朱洪艳, 段战胜. 多源信息融合[M]. 北京: 清华大学出版社, 2010.
    [2]
    何友, 王国宏, 彭应宁, 等. 多传感器信息融合与应用[M]. 北京: 电子工业出版社, 2000.
    [3]
    Raffaele G, Parastoo A, Hassan G, et al. Multi-sensor Fu-sion in Body Sensor Networks: State-of-the-art and Res- earch Challenges[J]. Information Fusion, 2017, 35: 68-80.
    [4]
    Reda B, Didier C, Thanh-Long N, et al. Multi-sensor Inf- ormation Fusion: Combination of Fuzzy Systems and Evidence Theory Approaches in Color Recognition for the NAO Humanoid Robot[J]. Robotics and Autonomous Sy- stems, 2018, 100: 302-316.
    [5]
    孙伟, 葛轶洲, 原玉婷, 等. 分布式检测融合在被动声呐浮标中的应用[J]. 通信对抗, 2016, 35(3): 23-27.

    Sun Wei, Ge Yi-zhou, Yuan Yu-ting, et al. Distributed De- tection Fusion Used on Passive SonoBuoy[J]. Communication Countermeasures, 2016, 35(3): 23-27.
    [6]
    吕琳. 未来反潜战中的多基地声呐作战[J]. 电子世界, 2018(4): 109-111.
    [7]
    王杰贵, 罗景青. 基于多目标多特征信息融合数据关联的无源跟踪方法[J]. 电子学报, 2004, 32(6): 1013-1016.

    Wang Jie-gui, Luo Jing-qing. Passive Tracking Based on Data Association with Information Fusion of Multi-Fea- ture and Multi-Target[J]. Acta Electronica Sinica, 2004, 32(6): 1013-1016.
    [8]
    孙启臣, 郭伟震, 闫倩倩, 等. 一种基于灰关联分析的多目标跟踪算法[J], 鲁东大学学报, 2017, 33(1): 20- 25.

    Sun Qi-chen, Guo Wei-zhen, Yan Qian-qian, et al. A Multi-target Tracking Algorithm Based on Grey Relational Analysis[J]. Ludong University Journal(Natural Science Edition), 2017, 33(1): 20-25.
    [9]
    孙伟, 尚金涛, 朱鲲. 一种新的多目标融合关联算法[J]. 声学与电子工程, 2016(3): 1-3.
    [10]
    康健, 李一兵, 林云, 等. 基于证据理论的联合概率数据关联算法[J]. 系统工程与电子技术, 2013, 35(8): 1620-1626.

    Kang Jian, Li Yi-bing, Lin Yun, et al. Joint Probability Data Association Algorithm Based on Evidence Theory[J]. Systems Engineering and Electronics, 2013, 35(8): 1620- 1626.
    [11]
    薛昌友, 李东鑫, 马暄, 等. 基于D-S证据理论的潜艇多源信息融合系统[J]. 舰船电子工程, 2008, 28(11): 27- 30.

    Xue Chang-you, Li Dong-xin, Ma Xuan, et al. Multi-Re- sources Data Fusion System of Submarine Based on D-S Evidential Reasoning[J]. Ship Electronic Engineering, 2008, 28 (11): 27-30.
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