• DocumentCode
    2298317
  • Title

    Wideband constant beamwidth beamformer for vehicle signal directional acquisition

  • Author

    Tian, Y.N. ; Huang, Q. Ch ; Wang, S.W. ; Gao, Zh H. ; Cao, X.L.

  • Author_Institution
    Coll. of Inf. Eng., Jilin Univ., Changchun, China
  • fYear
    2012
  • fDate
    29-31 Dec. 2012
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    In recent years, many new beamforming methods have been proposed successively. But most are designed for high-frequency signals and contain very complex coefficient adjustment sections, which are difficult to understand and implement. This paper proposes a novel beamformer with three advantages compared to the existing ones: one is its realization of restricting main beam within 12° with only 10 elements in a linear array. The second one is its potential to replace the complex coefficient adjustment sections with a simple overall weight method. The last one, which is the most prominent one, is its satisfactory effect on low-frequency signals. The effectiveness is verified by applying the proposed beamformer to vehicle signal directional acquisition on the multi-lane highway. Results show that the signal acquired directly is mixed with the surrounding noises and other lanes signals; its SNR is relative low. In contrast, the signal acquired with the proposed beamformer has a significantly improved SNR.
  • Keywords
    array signal processing; road vehicles; signal detection; traffic engineering computing; SNR improvement; linear array; low-frequency signals; multilane highway; overall weight method; vehicle signal directional acquisition; wideband constant beamwidth beamformer; Beamwidth; Bearnformer; Directional Acquisition; Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4673-2963-7
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2012.6525924
  • Filename
    6525924