Dynamic Displacement Estimation of Bridge Using MIMO Radar Interferometry From an Oscillating Platform

A radar-based, non-contact, marker-less bridge dynamic displacement estimation approach from oscillating platforms is proposed. The proposed approach makes use of a multiple-input multiple-output (MIMO) radar device to generate two-dimensional (2D) images of the bridge at short time intervals, in combination with radar interferometry techniques. Additionally, we propose a novel dynamic motion error compensation (DMEC) process to compensate for platform-induced phase errors. The DMEC is a data-driven approach that does not require any auxiliary data and applies corrections in the spatial domain for each interferogram, leveraging the 2D imaging capability of the MIMO radar. The proposed method was validated using simulated synthetic aperture radar (SAR) datasets of bridge under controlled conditions, demonstrating significant enhancement in displacement signatures and enabling the detection of both deflection and modal vibrations with high precision. Field validation experiments were also conducted using an oscillating MIMO radar to observe a simply supported girder bridge. The results showed that the system could detect sub-millimeter deflection signals induced by vehicle live loads—much smaller than platform oscillations—with the minimum observed deflection amplitude of -152.7 μm.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Geoscience and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/tgrs.2025.3594286
Citations
2
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
1.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Displacement Estimation of Bridge Using MIMO Radar Interferometry From an Oscillating Platform

Yuta Izumi, M. Komuro, Tomoki Kawarai, Kyu Yoshimori
2 citations
IEEE Transactions on Geoscience and Remote Sensing
Structural Health Monitoring Techniques
1.91
article

Dynamic Displacement Estimation of Bridge Using MIMO Radar Interferometry From an Oscillating Platform

Yuta Izumi, M. Komuro, Tomoki Kawarai, Kyu Yoshimori
article en
2 citations

Abstract

A radar-based, non-contact, marker-less bridge dynamic displacement estimation approach from oscillating platforms is proposed. The proposed approach makes use of a multiple-input multiple-output (MIMO) radar device to generate two-dimensional (2D) images of the bridge at short time intervals, in combination with radar interferometry techniques. Additionally, we propose a novel dynamic motion error compensation (DMEC) process to compensate for platform-induced phase errors. The DMEC is a data-driven approach that does not require any auxiliary data and applies corrections in the spatial domain for each interferogram, leveraging the 2D imaging capability of the MIMO radar. The proposed method was validated using simulated synthetic aperture radar (SAR) datasets of bridge under controlled conditions, demonstrating significant enhancement in displacement signatures and enabling the detection of both deflection and modal vibrations with high precision. Field validation experiments were also conducted using an oscillating MIMO radar to observe a simply supported girder bridge. The results showed that the system could detect sub-millimeter deflection signals induced by vehicle live loads—much smaller than platform oscillations—with the minimum observed deflection amplitude of -152.7 μm.

IEEE Transactions on Geoscience and Remote SensingVol. 63
Muroran Institute of Technology (JP)
Japan Society for the Promotion of Science London
Affordable and clean energy
Openalex Percentile: Top 14%
Structural Health Monitoring Techniques
1.91
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.