• DocumentCode
    2271176
  • Title

    Research on Multisensor State Fusion Estimation Based on Weighted Least Squares

  • Author

    Zhu, Peiyi ; Xu, Benlian ; Xu, Baoguo

  • Author_Institution
    Dept. of Autom., Changshu Inst. of Technol., Changshu
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    746
  • Lastpage
    750
  • Abstract
    In the measuring process, some even several sensors expire, but other non-expiration sensor can´t affect to provide the information independently. The system can depend on the information by non-expiration sensor providing to get accurate observed value. The paper analyzes the metrical data based on sensor management, and selects a group of sensors according to qualification, and data of the limited measurement by the group multi-sensors were state fusion estimated. The obtaining measurement results are more accurate than arithmetic mean value algorithm. At last eliminates the disturbance and the uncertainty in the sensor survey, and obtains is more accurate, the more reliable measurement result..
  • Keywords
    least squares approximations; sensor fusion; multisensor state fusion estimation; sensor management; weighted least square estimation; Arithmetic; Information technology; Least squares approximation; Noise measurement; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; State estimation; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.286
  • Filename
    4740097