• DocumentCode
    3381311
  • Title

    Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods

  • Author

    Tsai, Churng-Jou ; Yang, Jar-Ferr

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    1992
  • fDate
    7-9 Oct 1992
  • Firstpage
    370
  • Lastpage
    373
  • Abstract
    The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm
  • Keywords
    array signal processing; focusing; iterative methods; tracking; algorithm; auto-focusing procedures; beamforming; coherent signal-subspace methods; direction finding; minimum variance distortionless response; optimal focusing angles; steepest descent algorithm; tracking techniques; Array signal processing; Covariance matrix; Direction of arrival estimation; Frequency; Interference; Iterative algorithms; Narrowband; Power generation; Sensor arrays; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0508-6
  • Type

    conf

  • DOI
    10.1109/SSAP.1992.246773
  • Filename
    246773