• DocumentCode
    2650308
  • Title

    Kalman fixed-interval and fixed-lag smoothing forwireless sensor systems with multiplicative noises

  • Author

    Xiao Lu ; Haixia Wang ; Mingchao Li

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3023
  • Lastpage
    3026
  • Abstract
    The paper is dealt with the Kalman (or H2) fixed-interval and fixed-lag smoothing problem for wireless sensor networks (WSN) with multiplicative noises. Packet loss occurs in the observation equations, and multiplicative noises both occur in the system state equation and the observation equations. The Kalman smoothers which include Kalman fixed-interval smoother and Kalman fixed-lag smoother are given by solving Riccati equations based on projection theorem. The Riccati equations have the same dimension as the system.
  • Keywords
    Riccati equations; smoothing methods; wireless sensor networks; Kalman fixed-interval smoother; Kalman fixed-interval smoothing; Kalman fixed-lag smoother; Kalman fixed-lag smoothing; Kalman smoothers; Riccati equations; WSN; multiplicative noises; observation equations; packet loss; projection theorem; system state equation; wireless sensor networks; wireless sensor systems; Equations; Estimation; Kalman filters; Mathematical model; Noise; Smoothing methods; Wireless sensor networks; Discrete-time systems; Kalman smoothing; Packet loss; Wireless network systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6243075
  • Filename
    6243075