• DocumentCode
    3414134
  • Title

    Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

  • Author

    Kai Wu ; Reju, V.G. ; Khong, Andy W. H.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    444
  • Lastpage
    448
  • Abstract
    We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation algorithm which exploits co-location of the sensor elements in AVS. We identify time-frequency (TF) zones of the received signals in which only one source is dominant with a high signal-to-reverberation ratio. DOA estimation is then achieved via the use of clustering of the Hermitian angle feature. Simulation results show that the proposed DOA estimation algorithm is robust to both reverberation and environmental noise.
  • Keywords
    acoustic radiators; direction-of-arrival estimation; reverberation; AVS; Hermitian angle feature; acoustic sources; environmental noise; multiple sound sources; multisource DOA estimation; multisource DOA estimation algorithm; multisource direction-of-arrival estimation; received signals; reverberant environment; reverberation noise; room reverberation; signal-to-reverberation ratio; single acoustic vector sensor; source spectra; Estimation; Feature extraction; Filtering; Multiple signal classification; Reverberation; Hermitian angle; Multi-source DOA estimation; acoustic vector sensor; time-frequency sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178008
  • Filename
    7178008