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Volume 34 Issue 7
Jul.  2008
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Journal of Beijing University of Aeronautics and Astronautics  > 2008  >  34(7): 769-772.
Sun Jiancheng, Zhang Taiyi, Liu Fenget al. Novel nonlinear prediction algorithm for fast fading channel[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 499-503. (in Chinese)
Citation: Jin Jing, Li Min, Song Ningfang, et al. Random modulation for fiber optic gyroscope based on four-states Markov chain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(7): 769-772. (in Chinese)
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Random modulation for fiber optic gyroscope based on four-states Markov chain

  • School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 11 Jun 2007
  • Publish Date: 31 Jul 2008
    Abstract
  • Electrical crosstalk from modulation signal deteriorates bias stability, dead band and linearity in digital closed-loop fiber optic gyroscope (FOG). A random modulation based on a four-states Markov chain was presented to attenuate the electrical crosstalk. With periodicity of sine function and equiprobability of state transition direction, the four-states Markov chain can generate two signals statistical independently, a demodulation signal and a modulation signal, and the demodulation signal is a zero-mean stochastic sequence with the value of -1 and 1 equiprobablely. So the electrical crosstalk from the modulation signal can be attenuated via correlation with demodulation signal. The random modulation was implemented by using state machine in field programmed gate array (FPGA). Simulation and experimental results indicate that the random modulation based on the four-states Markov chain can attenuate the electrical crosstalk from the modulation signal by 1×103 times, and improve bias stability, dead band and linearity of FOG.

     

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