• DocumentCode
    1888573
  • Title

    Implementation of Digital Detection Scheme for Closed-Loop FOG Based on DSP and FPGA

  • Author

    Han, Junliang ; Ge, Shengmin ; Shen, Yi

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    24-27 April 2006
  • Firstpage
    2221
  • Lastpage
    2225
  • Abstract
    Digital closed-loop FOG detection scheme based on square wave bias and digital phase ramp feedback technique is introduced. A novel implementation of the detection scheme is developed with digital signal processor (DSP) and field programmable gate array (FPGA). Design and implementation of the detection system are discussed. Timing control and closed-loop signal processing and are implemented in FPGA. To restrain the random noise in the real-time system, an adaptive transverse filter is designed based on the least mean square (LMS) algorithm and is implemented in DSP for real-time filtering. Experiments and tests show that good performances have been achieved and the implementation scheme is of great practical value
  • Keywords
    adaptive filters; digital signal processing chips; fibre optic gyroscopes; field programmable gate arrays; least mean squares methods; transversal filters; adaptive transverse filter; closed-loop signal processing; digital closed-loop FOG detection scheme; digital phase ramp feedback technique; digital signal processor; field programmable gate array; least mean square algorithm; random noise; real-time filtering; square wave bias; timing control; Adaptive filters; Adaptive signal processing; Digital signal processing; Digital signal processors; Feedback; Field programmable gate arrays; Phase detection; Real time systems; Signal processing algorithms; Timing; DSP; FOG; FPGA; adaptive filtering; digital phase ramp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
  • Conference_Location
    Sorrento
  • ISSN
    1091-5281
  • Print_ISBN
    0-7803-9359-7
  • Electronic_ISBN
    1091-5281
  • Type

    conf

  • DOI
    10.1109/IMTC.2006.328566
  • Filename
    4124754