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Title: Multi-antenna global navigation satellite system/inertial measurement unit tight integration for measuring displacement and vibration in structural health monitoring
Authors: Dai, W
Li, X
Yu, W
Qu, X 
Ding, X 
Issue Date: Mar-2024
Source: Remote sensing, Mar. 2024, v. 16, no. 6, 1072
Abstract: Large-scale engineering structures deform and vibrate under the influence of external forces. Obtaining displacement and vibration is crucial for structural health monitoring (SHM). Global navigation satellite system (GNSS) and inertial measurement unit (IMU) are complementary and widely used in SHM. In this paper, we propose an SHM scheme where IMU and multi-antenna GNSS are tightly integrated. The phase centers of multiple GNSS antennas are transformed into the IMU center, which increases the observation redundancy and strengthens the positioning model. To evaluate the performance of tight integration of IMU and multiple GNSS antennas, high-rate vibrational signals are simulated using a shaking table, and the errors of horizontal displacement of different positioning schemes are analyzed using recordings of a high-precision ranging laser as the reference. The results demonstrate that applying triple-antenna GNSS/IMU integration for measuring the displacement can achieve an accuracy of 2.6 mm, which is about 33.0% and 30.3% superior than the accuracy achieved by the conventional single-antenna GNSS-only and GNSS/IMU solutions, respectively.
Keywords: GNSS/IMU
Multi-antenna GNSS
Structural health monitoring
Tight integration
Publisher: MDPI AG
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs16061072
Rights: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Dai W, Li X, Yu W, Qu X, Ding X. Multi-Antenna Global Navigation Satellite System/Inertial Measurement Unit Tight Integration for Measuring Displacement and Vibration in Structural Health Monitoring. Remote Sensing. 2024; 16(6):1072 is available at https://doi.org/10.3390/rs16061072.
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