• DocumentCode
    969472
  • Title

    Distributed estimation and quantization

  • Author

    Gubner, John A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • Volume
    39
  • Issue
    4
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    1456
  • Lastpage
    1459
  • Abstract
    An algorithm is developed for the design of a nonlinear, n-sensor, distributed estimation system subject to communication and computation constraints. The algorithm uses only bivariate probability distributions and yields locally optimal estimators that satisfy the required system constraints. It is shown that the algorithm is a generalization of the classical Lloyd-Max results
  • Keywords
    constraint theory; estimation theory; information theory; probability; sensor fusion; bivariate probability distributions; classical Lloyd-Max results; communication constraints; computation constraints; distributed estimation system; locally optimal estimators; nonlinear n-sensor system; quantization; Algorithm design and analysis; Communication channels; Drives; Feedback; Force sensors; Information theory; Probability distribution; Quantization; Sensor fusion; Sensor systems;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.243470
  • Filename
    243470
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=969472