• DocumentCode
    3716059
  • Title

    Wide-band source localization based on spatio-temporal structure of data

  • Author

    Caroline Fossati;Salah Bourennane;Guilhem Villemin

  • Author_Institution
    Ecole Centrale Marseille, Aix-Marseille Université
  • fYear
    2015
  • Firstpage
    1376
  • Lastpage
    1380
  • Abstract
    In this paper, a new subspace method based on spatio-temporal structure of data is presented for estimation of directions-of-arrival (DOAs) of sources impinging on an array of sensors. Firstly, the signals received on the different sensors are processed independently sensor by sensor to estimate the Times Of Arrival (TOAs) of multipaths. Then, the obtained TOAs are post-processed to estimate the DOA of each ray path. Simulation results show that the performance of the proposed method is similar to those of HR methods, with an advantage in its ability to cope with the situation where the number of multipaths is much larger than that of antenna sensors, which arises in many practical situations.
  • Keywords
    "Covariance matrices","Direction-of-arrival estimation","Estimation","Sensor arrays","Smoothing methods"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2015 23rd European
  • Electronic_ISBN
    2076-1465
  • Type

    conf

  • DOI
    10.1109/EUSIPCO.2015.7362609
  • Filename
    7362609