Angular Random Walk Improvement of Resonator Fiber Optic Gyro by Optimizing Modulation Frequency

Abstract

As a second-generation fiber optic gyro (FOG), the resonator fiber optic gyro (RFOG) has great potential in miniaturization and high-precision application. At present, white noises in the system have become important factors restricting the performance improvement of RFOG. For the first time, the shot noise, thermal noise, and relative intensity noise in the RFOG are analyzed and modeled, which are used to establish the angular random walk (ARW) model of RFOG. Based on the ARW model, an improvement method of ARW is proposed by adjusting the modulation frequency. In order to make this method effective, we use the particle swarm optimization algorithm to optimize the multi-parameter involved in ARW. Then, the experiment of optimizing modulation frequency is executed, which verifies that this method can effectively improve ARW and reduce the influence of white noises in RFOG.