Zhu, Tiangao https://orcid.org/0000-0001-8261-0387
Qin, Fangjun
Li, An
Yan, Jiujiang
Che, Hao
Li, Kailong https://orcid.org/0000-0001-6741-2729
Qian, Leiyuan https://orcid.org/0000-0001-7010-5762
Funding for this research was provided by:
National Natural Science Foundation of China (42274013)
Article Title: A novel atomic gravimeter dynamic gravity hybrid measurement method based on variational Bayesian adaptive unscented Kalman filter
Journal Title: Physica Scripta
Article Type: paper
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Publication dates
Date Received: 2025-10-08
Date Accepted: 2026-02-27
Online publication date: 2026-03-16