A vibration compensation approach for shipborne atomic gravimeter based on particle swarm optimization

The atomic gravimeter offers high precision, no drift, and excellent long-term stability, making it suitable for high-precision marine gravity measurements. However, the vibration environment generates various noise signals in the shipborne absolute gravity data, compromising measurement accuracy. Specifically, the vibration noise of the Raman mirror significantly impacts the gravimeter's accuracy, necessitating vibration compensation. This article presents an innovative four-coefficient transfer function model for the vibration compensation for a self-designed shipborne absolute gravity measurement system. Then, the particle swarm organization is introduced to identify the optimal compensation coefficients. Testing of the shipborne atomic gravimeter in the mooring state demonstrated an 81.25% reduction of the standard deviation of residuals (σ) between atomic interference fringes and the iterative fitting curve after compensation, yielding a measurement standard deviation of 0.210 mGal. This method was also applied to the test in the sailing state, achieving a 57.97% reduction of σ, with the external coincidence accuracy of 0.407 mGal.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-03-14
DOI
https://doi.org/10.1038/s41598-025-92544-1
Citations
4
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
7.17
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A vibration compensation approach for shipborne atomic gravimeter based on particle swarm optimization

Zhong-kun Qiao, Ruo Hu, Linling Li, Bin Wu et al.
4 citations
Scientific Reports
Geophysics and Gravity Measurements
7.17
article

A vibration compensation approach for shipborne atomic gravimeter based on particle swarm optimization

Zhong-kun Qiao, Ruo Hu, Linling Li, Bin Wu, Peng Yuan, Qiang Lin, Yin Zhou, Yuan Yuan, Zhen Shen, Guo-chao Wu
article en
4 citations

Abstract

The atomic gravimeter offers high precision, no drift, and excellent long-term stability, making it suitable for high-precision marine gravity measurements. However, the vibration environment generates various noise signals in the shipborne absolute gravity data, compromising measurement accuracy. Specifically, the vibration noise of the Raman mirror significantly impacts the gravimeter's accuracy, necessitating vibration compensation. This article presents an innovative four-coefficient transfer function model for the vibration compensation for a self-designed shipborne absolute gravity measurement system. Then, the particle swarm organization is introduced to identify the optimal compensation coefficients. Testing of the shipborne atomic gravimeter in the mooring state demonstrated an 81.25% reduction of the standard deviation of residuals (σ) between atomic interference fringes and the iterative fitting curve after compensation, yielding a measurement standard deviation of 0.210 mGal. This method was also applied to the test in the sailing state, achieving a 57.97% reduction of σ, with the external coincidence accuracy of 0.407 mGal.

Scientific ReportsVol. 15(1)
Sun Yat-sen University (CN), Ministry of Natural Resources (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Second Institute of Oceanography (CN), National Institute of Metrology (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), Zhejiang University of Technology (CN), Zhejiang University (CN)
Life below water
Openalex Percentile: Top 3%
Geophysics and Gravity Measurements
7.17
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.