Allan Variance Analysis for MEMS Gyroscopes

The Allan variance program for MEMS gyroscopes has been successfully implemented and validated. This program enables comprehensive performance evaluation of MEMS gyroscopes by characterizing their drift and noise properties across different time scales. The implementation typically involves data collection from gyroscope sensors, segmentation into clusters with varying time intervals, and computation of variance between consecutive clusters. Key algorithm components include time-series data processing, overlapping cluster analysis, and logarithmic plotting of variance versus averaging time. These parameters are critical for assessing gyroscope accuracy and stability, as they quantify angle random walk, bias instability, and rate random walk characteristics. Furthermore, the program serves as a valuable tool for optimizing MEMS gyroscope design and manufacturing processes, ultimately enhancing overall device performance and reliability through data-driven insights into noise sources and error mechanisms.