This paper presents a comprehensive stochastic model of the optoelectronic and photonic components of an interferometric fiber-optic gyroscope (IFOG), which plays a critical role in inertial navigation systems, especially for aerospace applications. The model accounts for various noise sources and disturbances, including power drift, the Kerr effect, and electronic noise generated by the photodetector and transimpedance amplifier. These elements are crucial for accurately simulating the real-world behavior of the IFOG system. Experimental validation was carried out using a prototype integrated from commercially available components, with a 500-meter fiber coil as the sensing element.

The experimental results showed strong agreement with the numerically simulated waveforms, demonstrating the model's ability to predict the IFOG’s behavior under different operating conditions. The noise sources were modeled using Gaussian and Poisson distributions, capturing the stochastic nature of the disturbances. The Kerr effect, in particular, was identified as a significant influence but was mitigated by employing a broadband light source.

This validated model offers a valuable tool for the development of more advanced IFOG systems, including those that integrate readout electronics. It enables better interpretation of experimental data and paves the way for future improvements in precision, making it suitable for applications requiring highly accurate angular velocity measurements.