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Two-level and two-period modulation for closed-loop interferometric fiber optic gyroscopes.

Rodrigo M Bacurau, Alex Dante, Marllon W Schlischting

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    We introduce a new modulation technique for fiber optic gyroscopes. This method enhances scale factor control and optimizes angle random walk, improving gyroscope performance.

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    Area of Science:

    • Optoelectronics
    • Inertial Navigation Systems
    • Optical Metrology

    Background:

    • Interferometric fiber optic gyroscopes (IFOGs) are crucial for inertial navigation.
    • Traditional modulation techniques face limitations in scale factor control, particularly at low angular velocities.
    • Optimizing angle random walk (ARW) is essential for high-precision gyroscope applications.

    Purpose of the Study:

    • To propose and experimentally validate a novel modulation technique for closed-loop IFOGs.
    • To improve scale factor control and reduce angle random walk in IFOGs.
    • To offer a more efficient modulation scheme compared to existing methods.

    Main Methods:

    • A two-level, two-period modulation technique is proposed, utilizing intercalated square wave modulation periods.
    • Angular velocity is derived from the difference between consecutive output levels.
    • Modulation depth error is calculated from the mean output levels of consecutive periods.

    Main Results:

    • The proposed technique demonstrates improved scale factor control, overcoming limitations of standard square wave modulation at low angular velocities.
    • Optimized angle random walk is achieved, leading to enhanced gyroscope performance.
    • The method requires a slower analog-to-digital converter compared to four-level modulation schemes.

    Conclusions:

    • The novel modulation technique offers significant advantages for closed-loop interferometric fiber optic gyroscopes.
    • It provides superior scale factor control and optimized angle random walk.
    • This technique presents a practical advancement for high-performance gyroscope construction.