Qualitative analysis and quantified evaluation of information fusion efficiency in multi-sensor systems

被引:0
|
作者
Xu, LZ [1 ]
Lin, ZG
Yang, SX
机构
[1] HoHai Univ, Coll Comp & Informat Engn, Nanjing 210098, Peoples R China
[2] Tianjin Polytech Univ, Sch Informat & Commun Engn, Tianjin 300160, Peoples R China
[3] Univ Guelph, Sch Engn, Adv Robot & Intelligent Syst Lab, Guelph, ON N1G 2W1, Canada
关键词
multi-sensor information fusion; information entropy; system assessment; D-S evidence theory; BP network;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The theorem of information fusion efficiency in multi-sensor systems is analyzed and proved. An index, efficiency, is proposed in this paper to evaluate the performance of information fusion in multi-sensor systems. The proposed method can quantitatively evaluate the efficiency of information fusion, with the consideration of fusion algorithms, information selection, correlation between input and output information, and fusion structure. The effectiveness of the method is demonstrated by its successful application if the information fusion of two real water-quality monitoring Systems. Input multi-information correlated with output information can improve the fusion efficiency, fusion systems based on different fusion algorithms can have different fusion efficiency, accordingly, efficiency index also has differ.
引用
收藏
页码:52 / 56
页数:5
相关论文
共 50 条
  • [21] MULTI-SENSOR INFORMATION FUSION FOR STRUCTURAL DAMAGE DETECTION
    Bao, Yue-Quan
    Xia, Yong
    Li, Hui
    Xu, You-Lin
    [J]. PROCEEDINGS OF THE ELEVENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING, VOL I AND II, 2010, : 1648 - 1653
  • [22] Multi-sensor Information Fusion and Its Application in Robots
    Zhang, Ran
    Wei, Jingzi
    [J]. COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION III, 2014, 443 : 299 - 302
  • [23] Survey on Robot Multi-sensor Information fusion Technology
    Zhao, Xiaochuan
    Luo, Qingsheng
    Han, Baoling
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5019 - +
  • [24] Research on NFE Model of Multi-Sensor Information Fusion
    Fan, Tiantian
    Zong, Hua
    Yu, Changjun
    Liu, Mei
    Quan, Taifan
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 394 - 398
  • [25] Multi-sensor information fusion predictive control algorithm
    [J]. Hao, Gang (haogang@hlju.edu.cn), 1600, Science and Engineering Research Support Society (11):
  • [26] Multi-sensor optimal information fusion Kalman filter*
    Sun, SL
    Deng, ZL
    [J]. AUTOMATICA, 2004, 40 (06) : 1017 - 1023
  • [27] A MULTI-SENSOR INFORMATION FUSION ALGORITHM BASED ON SVM
    Adu, Jian-Hua
    Hu, De-Kun
    Peng, Hui
    Tie, Ju-Hong
    [J]. 2008 INTERNATIONAL CONFERENCE ON APPERCEIVING COMPUTING AND INTELLIGENCE ANALYSIS (ICACIA 2008), 2008, : 40 - +
  • [28] AGV System Based on Multi-sensor Information Fusion
    Yuan, Peijiang
    Chen, Dongdong
    Wang, Tianmiao
    Ma, Fucun
    Ren, Hengfei
    Liu, Yuanwei
    Tan, Huanjian
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 900 - 905
  • [29] Information Fusion Based Filtering for Multi-Sensor System
    Wang Zhisheng
    Zhen Ziyang
    Hu Yong
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 427 - 430
  • [30] Performance evaluation of multi-sensor data-fusion systems in launch vehicles
    B. N. Suresh
    K. Sivan
    [J]. Sadhana, 2004, 29 : 175 - 188