Evidence map›Paper›PMID 41516590›Full record

ArticleSensors (Basel, Switzerland)2025

Radar Interferometry Using gNB Base Stations: Estimation and Compensation of Mast Motion and Atmospheric Effects.

Alessandra Beni, Lapo Miccinesi, Andrea Cioncolini, Luca Bigazzi, Lorenzo Pagnini, Massimiliano Pieraccini, Sergi Duque, Bleron Klaiqi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alessandra BeniDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0000-0002-0822-8689
Lapo MiccinesiDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0000-0002-7285-4588
Andrea CioncoliniDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0009-0009-3005-0010
Luca BigazziDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0000-0001-6733-7167
Lorenzo PagniniDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0000-0003-3079-2777
Massimiliano PieracciniDepartment of Information Engineering (DINFO), Università degli Studi di Firenze, 50139 Firenze, Italy.ORCID 0000-0002-3661-726X
Sergi DuqueHuawei Technologies Duesseldorf GmbH, 40549 Düsseldorf, Germany.
Bleron KlaiqiHuawei, 16494 Stockholm, Sweden.

Funding

Huawei (Sweden) Nature
6 · The paper itself

Abstract

Radar interferometry can provide important information for Structural Health Monitoring (SHM) of bridges and other transportation structures. In this article, joint communication and sensing (JCAS) telecommunication infrastructure is tested as a ground-based radar, offering advantages in terms of long-term costs, deployment and maintenance. This work specifically addresses the estimation of the radar support movement (i.e., pylon or mast), which represents a major challenge in this kind of measurements. Movements of the radar system combine with the true target motion and, if not correctly compensated, can compromise the accuracy of the results. A technique for estimating radar movements based on the displacement tracking of multiple permanent scatterers (PSs) in the scenario is presented. True target displacements can then be retrieved by applying linear regression methods to fixed PSs located at different viewing angles, accounting for both radar movements and atmospheric displacement components. The technique was validated using real data acquired during an experimental campaign on a bridge test site. First, results obtained for a target subject to known displacements are shown. A second measurement session was aimed at testing the method for bridge dynamic monitoring. Finally, the same technique was applied antenna mast monitoring in terms of modal analysis and vibration characterization.

Indexed as

ground-based radar interferometry (GBRI)joint communication and sensing (JCAS)structural health monitoring (SHM)

Identifiers

PMID41516590
PMCPMC12788251

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.