• DocumentCode
    262829
  • Title

    Helicopter tracking using acoustic arrays

  • Author

    Damarla, Thyagaraju ; Kirkpatrick Alberts, W.C.

  • Author_Institution
    Networked Sensing & Fusion Branch, U.S. Army Res. Lab., Adelphi, MD, USA
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Tracking of airborne vehicles using distributed acoustic arrays is considered here. Three tetrahedral acoustic arrays are distributed over roughly 1.5 sq. miles area to track a helicopter. The bearing angles are estimated at the significant harmonics of the fundamental frequency of the helicopter rotor using multiple signal classification (MUSIC). Some of the issues using the bearing estimates at lower harmonics are discussed. The altitude of the helicopter is estimated by fusing the covariances from all three arrays and performing MUSIC on them. An extended Kalman filter is used to track the helicopter and the tracking results are presented.
  • Keywords
    Kalman filters; acoustic arrays; covariance matrices; direction-of-arrival estimation; helicopters; nonlinear filters; rotors; signal classification; target tracking; MUSIC; airborne vehicle tracking; bearing angles estimation; covariance fusion; distributed acoustic arrays; extended Kalman filter; helicopter rotor; helicopter tracking; multiple signal classification; tetrahedral acoustic arrays; Acoustics; Azimuth; Direction-of-arrival estimation; Harmonic analysis; Helicopters; Multiple signal classification; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916021