• DocumentCode
    2311758
  • Title

    A measurements fusion filter for the multi-sensor system with correlated noises

  • Author

    Li Shengwei ; Feng Xiaoliang ; Lu Yazhou

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Henan Univ., Kaifeng, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    4458
  • Lastpage
    4462
  • Abstract
    Considering the sensor´s working environmental impact, the correlation of the system noise must be considered when fusing the measurements. The measurement fusion filtering method of a linear system with the correlation of measurement noises and the fusion time input noise and the correlation of measurement noises is researched in this paper. A centralized measurement fusion filtering method is present firstly, and then, a novel fusion measurement with low dimension is given based on the weighted least-square estimation theory. Utilizing a derived new measurement equation, a novel weighted measurement fusion filtering method is proposed in this paper. The final simulation illustrates the equivalent relation of the proposed measurement fusion filtering method and the optimal centralized measurement fusion method.
  • Keywords
    correlation methods; estimation theory; filtering theory; least squares approximations; linear systems; sensor fusion; centralized measurement fusion filtering method; fusion time input noise; linear system; measurement equation; measurement noise correlation; multisensor system; optimal centralized measurement fusion method; sensor working environmental impact; system noise correlation; weighted least square estimation theory; weighted measurement fusion filtering method; Correlation; Educational institutions; Kalman filters; Noise; Noise measurement; Weight measurement; measurement fusion filtering; multi-sensor system; the correlation of the system noise; weighted least-square theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6359232
  • Filename
    6359232