• DocumentCode
    3500279
  • Title

    Energy based collaborative source localization using acoustic micro-sensor array

  • Author

    Hu, Yu Hen ; Li, Dan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
  • fYear
    2002
  • fDate
    9-11 Dec. 2002
  • Firstpage
    371
  • Lastpage
    375
  • Abstract
    A novel sensor network source localization method based on acoustic energy measurements is presented. This method makes use of the characteristics that the acoustic energy decays exponentially with respect to the distance from an omni-directional acoustic source. By comparing energy readings measured at surrounding acoustic sensors during the same time interval can be accurately estimated. We show that the potential target location is restricted to a hyper-sphere in the sensor field given the acoustic energy reading at a pair of sensors. Given multiple sensor acoustic energy readings, the target location is solved as the location that is closest (in the least square sense) to all the corresponding hyper-spheres. We further simplified this nonlinear least square problem to an unconstrained linear least square problem that yields a closed form solution. Experiment results using military vehicle acoustic data show great promise of this novel approach.
  • Keywords
    acoustic arrays; acoustic signal processing; array signal processing; distributed sensors; least squares approximations; microsensors; acoustic energy measurement; acoustic microsensor array; closed form solution; collaborative signal processing; energy based collaborative source localization; hyper-sphere; military vehicle acoustic data; nonlinear least square problem; novel sensor network source localization method; omnidirectional acoustic source; target localization; Acoustic arrays; Acoustic measurements; Acoustic sensors; Closed-form solution; Collaboration; Energy measurement; Least squares methods; Sensor phenomena and characterization; Time measurement; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2002 IEEE Workshop on
  • Print_ISBN
    0-7803-7713-3
  • Type

    conf

  • DOI
    10.1109/MMSP.2002.1203323
  • Filename
    1203323