Physics-informed random forest algorithm for temperature compensation in fiber optic gyroscopes.

已完结 10 由 navon 发布于 2026/8/25 23:41:43

DOI:10.1364/AO.603567
作者：Chenxiao Qin,?Yue Liu,?Rongwang Zeng,?Qinghua Xu,?Huizheng Yuan,?Huan Xie,?Wei Zhang,?Qiaoyin Lu,?Weihua Guo,?Lirong Huang
文献类型：期刊论文
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The Optical Society

Abstract：Temperature-induced bias drift severely degrades the accuracy of fiber optic gyroscopes. Existing compensation methods face a dilemma between polynomial fitting accuracy and deep learning ge

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