Home Journals Articles Updates About
CN
image
收藏切换
Transfer Function Identification of Pendulum Tiltmeter Based on GNA-ARMA Model
收藏切换
Wentao ZUO1, 2, Yunyao ZHOU1, 2, 3, 4, *, Yongqing LÜ1, 2, 3
Journal of Geodesy and Geodynamics | 2026, 46(2) : 189 - 193
Less
收藏切换
Journal of Geodesy and Geodynamics | 2026, 46(2): 189-193
Transfer Function Identification of Pendulum Tiltmeter Based on GNA-ARMA Model
Full
Wentao ZUO1, 2, Yunyao ZHOU1, 2, 3, 4, *, Yongqing LÜ1, 2, 3
Affiliations
  • 1 Wuhan Institute of Earth Observation, CEA, Wuhan 430071, China
  • 2 Institute of Seismology, CEA, Wuhan 430071, China
  • 3 Key Laboratory of Earthquake Geodesy, CEA, Wuhan 430071, China
  • 4 Wuhan Gravitation and Solid Earth Tides, National Observation and Research Station, Wuhan 430071, China
Published: 2026-02-15 doi: 10.14075/j.jgg.2025.03.065
Outline
收藏切换

In this paper, a system identification method based on the combination of GNA and ARMA is proposed to model the transfer function of the pendulum tilt instrument system. The GNA algorithm dynamically adjusts the step size to optimize the estimation of system parameters and the ARMA model models the noise characteristics to suppress random fluctuations. The system identification results are comprehensively analyzed. Compared with the standalone GNA algorithm, the integration of the ARMA model improves the fitting accuracy of the system transfer function from 92.96% to 95.53%, and reduces FPE from 115.9 to 47.28. This enhancement significantly strengthens the system's ability to suppress external noise. Moreover, the zero-pole distribution and residual analysis further validate the improved stability and reliability of the identified transfer function. This method enhances the accuracy and robustness of transfer function identification for the pendulum tilt instrument system, providing a solid foundation for its calibration and performance optimization.

transfer function identification  /  adaptive Gauss-Newton algorithm  /  ARMA model  /  comprehensive analysis  /  pendulum tiltmeter system
左文涛, 周云耀, 吕永清. 基于GNA-ARMA模型的摆式倾斜仪传递函数辨识研究. 大地测量与地球动力学, 2026 , 46 (2) : 189 -193 . DOI: 10.14075/j.jgg.2025.03.065
Wentao ZUO, Yunyao ZHOU, Yongqing LÜ. Transfer Function Identification of Pendulum Tiltmeter Based on GNA-ARMA Model[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (2) : 189 -193 . DOI: 10.14075/j.jgg.2025.03.065
Appendix
Less
Year 2026 volume 46 Issue 2
38
16
Cite this Article
BibTeX
Article Info
doi: 10.14075/j.jgg.2025.03.065
  • Receive Date：2025-03-05
  • Online Date：2026-10-29
  • Published：2026-02-15
Article Data
Affiliations
History
  • Received：2025-03-05
Funding
Affiliations
    1 Wuhan Institute of Earth Observation, CEA, Wuhan 430071, China
    2 Institute of Seismology, CEA, Wuhan 430071, China
    3 Key Laboratory of Earthquake Geodesy, CEA, Wuhan 430071, China
    4 Wuhan Gravitation and Solid Earth Tides, National Observation and Research Station, Wuhan 430071, China
References
Share
https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2025.03.065
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House