• DocumentCode
    284745
  • Title

    Super directive sensor array with neural network structure

  • Author

    Kobatake, Hidefumi ; Morita, Wataru ; Yano, Yoshiharu

  • Author_Institution
    Fac. of Technol., Tokyo Univ. of Agric. & Technol., Japan
  • Volume
    2
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    321
  • Abstract
    A sensor array system with a neural network structure that realizes superdirectivity characteristics is introduced. The fundamental array system adopted is a three-layered neural network. It is, of course, a nonlinear system. Generally the nonlinearity causes undesirable distortions. However the nonlinearity is used positively to realize superdirectivity, which is unrealizable by a linear array system. A novel network structure is proposed to prevent nonlinear distortions of the desired signal. Computer simulation to test the performance of the proposed system has been performed, and results show that the system works well and the directivity is much sharper than that of a linear system
  • Keywords
    array signal processing; neural nets; computer simulation; neural network structure; nonlinear system; sensor array system; superdirectivity characteristics; three-layered neural network; Computer simulation; Linear systems; Neural networks; Nonlinear distortion; Nonlinear systems; Performance evaluation; Sensor arrays; Sensor phenomena and characterization; Sensor systems; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226055
  • Filename
    226055