• DocumentCode
    449611
  • Title

    Power spectrum estimation with low rank beamforming

  • Author

    Santos, Ernesto ; Zoltowski, Michael

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
  • Volume
    4
  • fYear
    2005
  • fDate
    2-2 Dec. 2005
  • Lastpage
    2188
  • Abstract
    When the size of the training samples is limited the performance of the full rank minimum variance distortionless response (MVDR) beamformer is deteriorated; and a low rank solution of the MVDR problem can yield a better performance. A new adaptive approach, indirect dominant mode rejection (IDMR), was introduced in previous work to solve the MVDR optimization problem. In the previous work the IDMR beamformer was used to extract the desired signal, while in this work we use the IDMR beamformer to estimate the power spectrum. We also introduce several modifications, which bring more robustness to the basic IDMR. These include root-music, forward/backward averaging of the sample covariance matrix and power window
  • Keywords
    array signal processing; covariance matrices; spectral analysis; full rank minimum variance distortionless response beamformer; indirect dominant mode rejection; low rank beamforming; power spectrum estimation; power window; root-music; sample covariance matrix; Array signal processing; Covariance matrix; Direction of arrival estimation; Equations; Multiple signal classification; Performance analysis; Power engineering and energy; Power engineering computing; Signal to noise ratio; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    0-7803-9414-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2005.1578051
  • Filename
    1578051