Calibration and Sensitivity Enhancement of AI Rate Integrator through EKF and Impact on Raman Spectroscopy Optimal Wavelengths

This repository provides the code and dataset for the study on calibration of an atomic interferometry (AI) rate sensor using an Extended Kalman Filter (EKF). The implementation enables bias estimation and parameter identification based on real trajectory data, improving orientation accuracy and enhancing Raman spectroscopy performance.本代码仓库提供了针对原子干涉测量（atomic interferometry, AI）速率传感器采用扩展卡尔曼滤波（Extended Kalman Filter, EKF）开展校准研究的相关代码与数据集。该实现方案可基于实际轨迹数据完成偏置估计与参数辨识，能够提升定向精度并优化拉曼光谱的应用性能。