TY - JOUR
T1 - Enhancement of Atomic Spin Gyroscopes Under Thermo-Mechanical Coupling
T2 - A Physics-Informed Measurement and Estimation Approach
AU - Liu, Zehua
AU - Deng, Silu
AU - Wang, Zhuo
AU - Pang, Haoying
AU - Yan, Yifan
AU - Lei, Xusheng
AU - Wang, Junping
AU - Quan, Wei
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - In high-precision inertial measurement, the structural bias drift of atomic spin gyroscopes (ASGs) induced by residual thermo-mechanical coupling remains a critical limiting factor for long-term stability. This article presents a physics-informed adaptive measurement and compensation framework designed to suppress these deterministic and stochastic errors. Unlike pure data-driven models, the proposed method characterizes the physical coupling mechanisms to enhance the traceability of the estimation process. Two key metrological innovations are introduced: a statistical-physical dual-threshold gating mechanism that ensures causality in error detection to shield against nonphysical sensor noise, and an excitation-guided anisotropic injection strategy for decoupling channel-wise measurement uncertainties. This approach enables stable locking of quiescent parameters while maintaining rapid response to transient thermal disturbances. Experimental evaluation indicates that the proposed method reduces the bias instability (BI) by 8.66 dB and suppresses the rate random walk (RRW) coefficient by 32.41 dB. By providing a rigorous uncertainty analysis and decoupling recessive signal dynamics from environmental interferences, this work establishes a robust instrumentation paradigm for deploying quantum sensors in complex environments.
AB - In high-precision inertial measurement, the structural bias drift of atomic spin gyroscopes (ASGs) induced by residual thermo-mechanical coupling remains a critical limiting factor for long-term stability. This article presents a physics-informed adaptive measurement and compensation framework designed to suppress these deterministic and stochastic errors. Unlike pure data-driven models, the proposed method characterizes the physical coupling mechanisms to enhance the traceability of the estimation process. Two key metrological innovations are introduced: a statistical-physical dual-threshold gating mechanism that ensures causality in error detection to shield against nonphysical sensor noise, and an excitation-guided anisotropic injection strategy for decoupling channel-wise measurement uncertainties. This approach enables stable locking of quiescent parameters while maintaining rapid response to transient thermal disturbances. Experimental evaluation indicates that the proposed method reduces the bias instability (BI) by 8.66 dB and suppresses the rate random walk (RRW) coefficient by 32.41 dB. By providing a rigorous uncertainty analysis and decoupling recessive signal dynamics from environmental interferences, this work establishes a robust instrumentation paradigm for deploying quantum sensors in complex environments.
KW - Adaptive extended Kalman filter (EKF)
KW - atomic inertial sensors
KW - in situ bias compensation
KW - physics-informed adaptive estimation
KW - thermo-mechanical coupling
UR - https://www.scopus.com/pages/publications/105047009903
U2 - 10.1109/TIM.2026.3720805
DO - 10.1109/TIM.2026.3720805
M3 - 文章
AN - SCOPUS:105047009903
SN - 0018-9456
VL - 75
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 3003512
ER -