AR Time Series Modeling for Gyroscope Random Drift with Kalman Filter Implementation

This program implements a gyroscope random drift model based on AR time series modeling and effectively eliminates random drift using Kalman filtering methodology. The algorithm has been experimentally validated to demonstrate significant performance improvements in gyroscope accuracy through noise reduction and signal enhancement techniques.