Noise Suppression Research of Fan Shaped Superfluid Interference Grating Gyroscope

Abstract

Aiming at the new gyro structure of fan shaped superfluid interference grating gyro, the noise suppression of gyro based on software filtering algorithm is studied in this paper. Firstly, the phase noise model of gyro is constructed, and the amplitude range and characteristics of the phase noise are quantitatively analyzed. Secondly, considering the working principle of gyro and the additive noise characteristics of the phase noise, the mixed angular velocity information of gyro output is used as the expected input of the noise suppression system, and the phase noise is used as the reference input, the gyro noise suppression system is designed based on the normalized least mean square (NLMS). Finally, the influence of filter parameters on gyro noise suppression system is analyzed and the effectiveness of the design system is verified.