• DocumentCode
    1675557
  • Title

    Hybrid maximum a posteriori estimation under communication constraints

  • Author

    Nerurkar, Esha D. ; Roumeliotis, Stergios I.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2013
  • Firstpage
    4898
  • Lastpage
    4902
  • Abstract
    We consider the problem of joint-state estimation for mobile wireless sensor networks (WSN) using noisy analog observations from spatially-distributed sensors. Due to communication bandwidth constraints, sensors can transmit only quantized observations. As opposed to existing estimators that process either only quantized or only analog observations, we develop a Maximum A Posteriori-based hybrid estimation framework that enables each sensor to utilize its own local analog observations as well as quantized observations received from other sensors to improve estimation accuracy.
  • Keywords
    maximum likelihood estimation; mobile radio; wireless sensor networks; WSN; communication bandwidth constraints; estimation accuracy improvement; joint-state estimation; local analog observations; maximum a posteriori-based hybrid estimation framework; mobile wireless sensor networks; noisy analog observations; quantized observations; spatially-distributed sensors; Estimation; Mathematical model; Noise measurement; Quantization (signal); Sensors; Technological innovation; Wireless sensor networks; Distributed MAP estimation; communication constraints; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638592
  • Filename
    6638592