• DocumentCode
    3395716
  • Title

    Optimal Scheduling for State Estimation Using a Terminal Cost Function

  • Author

    Savage, C.O. ; La Scala, B.F. ; Moran, B.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic.
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we consider state estimation problems where there are multiple independent processes evolving but the estimation scheme can only select a limited set of processes to measure at each time step. Within a Gauss-Markov framework, we show the optimality of a scheduling scheme under various scenarios. These types of problems are common in sensor scheduling applications
  • Keywords
    filtering theory; scheduling; state estimation; Gauss-Markov framework; optimal scheduling; sensor scheduling; state estimation; terminal cost function; Cost function; Gaussian processes; Hidden Markov models; Kalman filters; Laboratories; Optimal scheduling; Radar tracking; State estimation; Target tracking; Time measurement; Kalman filter; sensor scheduling; state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301677
  • Filename
    4085963
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3395716