• DocumentCode
    1940331
  • Title

    Received signal strength gradient estimation for mobile networks

  • Author

    Yu, Paul L. ; Sadler, Brian M.

  • Author_Institution
    US Army Res. Lab., Adelphi, MD, USA
  • fYear
    2010
  • fDate
    Oct. 31 2010-Nov. 3 2010
  • Firstpage
    519
  • Lastpage
    523
  • Abstract
    This paper considers the question: As a receiver moves along a trajectory, is its received signal strength (RSS) increasing or decreasing? This is an important question for mobile receivers to answer in order to maintain or improve connectivity within the network. When signal strength maps are unavailable a priori, a receiver decides the answer based on its observations. We derive the maximum likelihood estimate (MLE) of signal strength at a particular location in Rayleigh/Rician fading and additive Gaussian noise. We estimate the slope of the gradient by making RSS estimates at multiple locations. By making estimates of the MLE variance, we can derive confidence in the gradient, which can be used to decide future movements.
  • Keywords
    fading channels; maximum likelihood estimation; mobile ad hoc networks; regression analysis; Rayleigh/Rician fading; additive Gaussian noise; maximum likelihood estimate; mobile networks; mobile receivers; received signal strength gradient estimation; Approximation methods; Fading; Maximum likelihood estimation; Receivers; Rician channels; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
  • Conference_Location
    San Jose, CA
  • ISSN
    2155-7578
  • Print_ISBN
    978-1-4244-8178-1
  • Type

    conf

  • DOI
    10.1109/MILCOM.2010.5680357
  • Filename
    5680357