• DocumentCode
    1168187
  • Title

    DOA estimation via a network of dumb sensors under the SENMA paradigm

  • Author

    Marano, Stefano ; Matta, Vincenzo ; Willett, Peter ; Tong, Lang

  • Author_Institution
    DIIIE, Univ. degli Studi di Salerno, Fisciano, Italy
  • Volume
    12
  • Issue
    10
  • fYear
    2005
  • Firstpage
    709
  • Lastpage
    712
  • Abstract
    Following the SENMA concept, we consider a wireless network of very dumb and cheap sensors, polled by a travelling "rover". Sensors are randomly placed and isotropic: Individually, they have no ability to resolve the direction of arrival (DOA) of an acoustic wave. However, they do observe the wavefront at different times. We assume that the communication load must be as limited as possible, so that these times cannot be communicated to the rover. Notwithstanding the lack of transmission of arrival times and the lack of DOA resolution ability of the individual sensors, DOA estimation is possible and simple, and asymptotic efficiency becomes closely approximated after a reasonable number of rover snapshots. Key features are the directionality of the rover antenna, the area it surveys, and the average number of sensors inside that area, as accorded a Poisson distribution.
  • Keywords
    Poisson distribution; acoustic signal processing; antenna radiation patterns; direction-of-arrival estimation; planetary rovers; sensor fusion; wireless sensor networks; DOA estimation; Poisson distribution; SENMA paradigm; acoustic wave; asymptotic efficiency; data fusion; direction of arrival; dumb sensor network; rover antenna; rover snapshot; wireless network; Acoustic sensors; Acoustic signal detection; Acoustic waves; Direction of arrival estimation; Directive antennas; Mathematical model; Sensor fusion; Sensor phenomena and characterization; Signal design; Wireless sensor networks; Data fusion; direction of arrival (DOA); sensor network;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2005.855543
  • Filename
    1510665