• DocumentCode
    1756956
  • Title

    Low-Noise Low-Delay Digital Signal Processor for Resonant Micro Optic Gyro

  • Author

    Huilian Ma ; Wenyi Wang ; Yang Ren ; Zhonghe Jin

  • Author_Institution
    Micro-Satellite Res. Center, Zhejiang Univ., Hangzhou, China
  • Volume
    25
  • Issue
    2
  • fYear
    2013
  • fDate
    Jan.15, 2013
  • Firstpage
    198
  • Lastpage
    201
  • Abstract
    A low-noise low-delay digital signal processor is constructed on a single field-programmable gate array. An equivalent input noise as low as 3.752 nV/√Hz is demonstrated for the digital signal processor, which can detect an equivalent Sagnac effect of 0.003°/s in a resonant micro optic gyro (RMOG) with a 2.5-cm diameter ring resonator. With the processing time reduced from hundreds of seconds to 1.1 μs , this processor significantly increases the loop gain of the feedback loop and reduces the reciprocal noise in the RMOG. Owing to the fast speed of this processor, the lock-in frequency accuracy is reduced to 0.78 Hz (1σ), which is equivalent to a rotation rate of 0.004°/s. Relationship between this digitalized RMOG output signal and angular rate is obtained from ±0.25°/s to ±400°/s. The standard deviation of the residuals between RMOG output results and linear fit curve is 0.0236°/s.
  • Keywords
    digital signal processing chips; field programmable gate arrays; gyroscopes; micro-optics; optical feedback; optical information processing; optical noise; optical resonators; optical rotation; Sagnac effect; digitalized RMOG output angular rate; feedback loop gain; lock-in frequency; low-noise low-delay digital signal processor; resonant microoptic gyro; ring resonator; single field-programmable gate array; size 2.5 cm; time 1.1 mus; Bandwidth; Noise; Optical fibers; Optical ring resonators; Resonant frequency; Digital signal processor; resonant micro optic gyro (RMOG); silica waveguide ring resonator;
  • fLanguage
    English
  • Journal_Title
    Photonics Technology Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1041-1135
  • Type

    jour

  • DOI
    10.1109/LPT.2012.2233727
  • Filename
    6380533