Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Vibration Compensation for a High-Precision Atomic Gravimeter Based on an Improved Whale Optimization Algorithm. |
| Συγγραφείς: |
Guo, Xingyue1 (AUTHOR), Zhang, Yiyang2,3 (AUTHOR), Liu, Zhennan3,4 (AUTHOR), Wang, Yi1,4 (AUTHOR), Wang, Shaokai1,2,3,4 (AUTHOR) wangshk@nim.ac.cn |
| Πηγή: |
Sensors (14248220). Apr2026, Vol. 26 Issue 7, p2133. 19p. |
| Θεματικοί όροι: |
*Gravimeters (Geophysical instruments), *Metaheuristic algorithms, *Phase estimation (Electronics), *Vibration isolation, *Gravimetry |
| Περίληψη: |
Highlights: 1. An improved whale optimization algorithm (IWOA) is proposed for vibration compensation, which integrates Logistic-LHS initialization, adaptive search, and Gaussian mutation into the common whale optimization algorithm. 2. With no vibration isolation, IWOA compensation improves the gravity measurement sensitivity by 50% to 47 μ Gal / Hz when the evolution time T is 80 ms. 3. With vibration isolation, IWOA compensation boosts the Pearson correlation between the transition probability and calculated phase to a maximum of 0.98. What are the main findings? With no vibration isolation, IWOA minimizes the RMSE of fringe-fitting and outperforms the common coefficient-search method in both speed and accuracy. With vibration isolation, IWOA maximizes the Pearson correlation between the atomic signal and calculated phase, outperforming the value of 0.94 reported by Le et al. What are the implications of the main findings? The IWOA framework advances fast and accurate algorithmic vibration compensation in cold-atom gravimetry, enabling robust phase restoration and parameter optimization for improved gravity sensitivity. Cold-atom absolute gravimeters are widely used for measuring the acceleration of gravity, yet their sensitivity is often limited by ground vibrations. Existing vibration compensation algorithms struggle to strike a balance between search accuracy and computational efficiency and are prone to local optima. Here, we propose an improved whale optimization algorithm (IWOA) to address these issues. By combining Logistic-LHS (Latin hypercube sampling) chaotic initialization, adaptive adjustment, and a Gaussian mutation operator to prevent premature convergence, IWOA achieves higher search efficiency and superior sensitivity than traditional algorithms. The method is validated through multiple simulation studies and further assessed experimentally on the NIM-AGRb-1 cold-atom gravimeter system. The results show that IWOA reduces the uncertainty of the fitted phase parameter by 66%. The Pearson correlation between atomic transition probability and the calculated phase increases to a maximum of 0.98, and the gravity sensitivity improves to 47 μ Gal / Hz when the evolution time T is 80 ms. [ABSTRACT FROM AUTHOR] |
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