• DocumentCode
    1565463
  • Title

    Adaptive beamforming as an inverse problem

  • Author

    Barroso, Victor A. ; Moura, José M F

  • Author_Institution
    CAPS, Inst. Superior Tecnico, Lisbon, Portugal
  • fYear
    1989
  • Firstpage
    2597
  • Abstract
    In previous work, the authors developed a minimum-mean-square-error beamformer (MMSE-BF). When they compared it to the minimum-variance distortionless-response beamformer (MVDR-BF), they concluded that it is especially suited for correlated returns. This improvement is at the cost of some frequency distortion in wideband applications. To circumvent this problem, the minimum-mean-square-error distortionless-response beamformer (MMSEDR-BF) is introduced. Its behavior is compared with the MVDR-BF and the MMSE-BF. Adaptive beamforming is discussed as an inverse problem. Within this framework, the authors suggest the use of alternative norms, e.g. the L 1 norm. Preliminary results for L1 adaptive beamforming are presented
  • Keywords
    inverse problems; signal detection; signal processing; L1 norm; MMSE-BF; MMSEDR-BF; MVDR-BF; adaptive beamforming; array processing; inverse problem; minimum-mean-square-error beamformer; minimum-mean-square-error distortionless-response beamformer; minimum-variance distortionless-response beamformer; Array signal processing; Costs; Frequency; Interference; Inverse problems; Mean square error methods; Sensor arrays; Signal processing; Signal to noise ratio; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266999
  • Filename
    266999