• DocumentCode
    3468307
  • Title

    Fusion of hybrid data in mode estimation

  • Author

    Lin, C.E. ; Yang, C. ; Cloutier, J. ; Evers, J.H. ; Zachery, R.

  • Author_Institution
    American GNC Corp., Chatsworth, CA, USA
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    3072
  • Abstract
    The adaptive management of a multisensor system is indispensable for ensuring the synergistic use of multiple sensors to improve system performance. Two aspects of the multisensor system are addressed. First, the problem of adaptive management of multiple sensors as a function of environmental and operational conditions is considered. Second, an investigation of various fusion schemes at different levels is performed by considering the use of hybrid measurements which are typically continuous-valued and discrete-valued. The hybrid-measurement-based estimation of the jump mode, which suitably describes the environmental and operational condition changes, is illustrated through simulation. It is concluded that the improved mode estimation can be used by a multisensor adaptive management system for environmental adaptation
  • Keywords
    adaptive systems; sensor fusion; adaptive management; environmental adaptation; hybrid data fusion; hybrid measurements; mode estimation; multisensor system; synergistic use; Adaptive systems; Environmental management; Force sensors; IEEE members; Intelligent sensors; Laser radar; Millimeter wave radar; Multisensor systems; Navigation; Performance evaluation; Power engineering and energy; Sensor phenomena and characterization; Sensor systems; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261115
  • Filename
    261115