• DocumentCode
    1888401
  • Title

    Notice of Retraction
    Use Matlab to Realize Acceleration Signal Processing of Armor-Piercing Bullet Penetrating Steel Target

  • Author

    Wen Feng ; Zhou Zhen ; Qiao Jianzhong

  • Author_Institution
    Nat. Key Lab. of Electron. Meas. Technol., North Univ. of China, Taiyuan, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    For a comprehensive and objective understanding of the dynamic overload of armor-piercing bullet penetrating steel target, it must be processed of nonsteady penetrating acceleration signals. In this article, acceleration signals, which are obtained by the embedded high-overload electronic solid recorder at the test of armor-piercing bullet penetrating steel target, is done of wave filtering and integral analysis and so on in time domain, frequency-domain analysis through FFT, as well as Wigner-Ville time-frequency analysis and wavelet analysis. It is obtained of the characteristic signal when armor-piercing bullet penetrates steel target under certain conditions. Through signal processing and comprehensive analysis, the trait of armor-piercing bullet penetrating steel target is obtained, also a kind of data processing method is provided to engineers, by which concerned parameters can be got.
  • Keywords
    fast Fourier transforms; mechanical engineering computing; military computing; projectiles; signal processing; wavelet transforms; weapons; Matlab; Wigner-Ville time-frequency analysis; acceleration signal processing; armor-piercing bullet; data processing method; fast Fourier transforms; integral analysis; nonsteady penetrating acceleration signals; steel target penetration; wave filtering; wavelet analysis; Acceleration; Steel; Time domain analysis; Time frequency analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677799
  • Filename
    5677799