• DocumentCode
    1800521
  • Title

    Multi-sensor Target Recognition Fusion Based on Fuzzy Theory

  • Author

    Han Feng ; Yang WanHai ; Guang, Xiao

  • Author_Institution
    Xidian Univ., Xi´´an
  • fYear
    2007
  • fDate
    Aug. 16 2007-July 18 2007
  • Firstpage
    23468
  • Lastpage
    24929
  • Abstract
    In the process of the multi-sensors target recognition fusion, focused on the problem that it is difficult to determine the reliability of each sensor and how the data measured by different sensors are fused, a multi-sensor target recognition fusion method based on fuzzy theory is proposed. The mutual supportability of multiple sensors is obtained from the correlation function. Then by the membership function, the reliability of information provide by each sensor is gained. Finally, the supposed fusion result of multi-sensors target recognition can be produced on the basis of fuzzy integration function. The method is simple computationally and can objectively reflect the reliability of each sensor and interrelationship between these sensors. By applying the method to the target recognition, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensors target recognition fusion method.
  • Keywords
    fuzzy set theory; pattern recognition; sensor fusion; fuzzy integration function; fuzzy theory; membership function; multi-sensor target recognition fusion; sensor reliability; Computational modeling; Data engineering; Fuzzy systems; Instruments; Reliability engineering; Reliability theory; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target recognition; correlation function; fusion; fuzzy integration function; multi-sensor; target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4351225
  • Filename
    4351225