Evidence map›Paper›PMID 42204306›Full record

ArticleScientific reports2026

Radar-assisted wireless sensor communications using frequency-modulated reconfigurable intelligent surfaces.

Farid Morabet, Marc Lazaro, Ramon Villarino, David Girbau, Antonio Lazaro

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

5 authors.

Farid MorabetDepartment of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, Tarragona, 43007, Spain.
Marc Lazaro *Department of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, Tarragona, 43007, Spain.
Ramon Villarino *Department of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, Tarragona, 43007, Spain.
David Girbau *Department of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, Tarragona, 43007, Spain.
Antonio LazaroDepartment of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, Tarragona, 43007, Spain. antonioramon.lazaro@urv.cat.

Funding

MICIU /AEI /10.13039/501100011033 / ERDF, EU PID2024-155173OB-I00URV 2023PMF-PIPF-40
6 · The paper itself

Abstract

Short-range continuous-wave (CW) radar sensing is increasingly adopted in Internet of Things (IoT) applications including localization, gesture recognition, and environmental monitoring across a wide range of indoor and industrial environments, motivating compact architectures that integrate perception with embedded data delivery. This paper extends this functionality to low-data-rate IoT communications by introducing a radar-assisted reconfigurable intelligent surface (RIS) sensing framework based on frequency-coded backscatter, in which the RIS acts as a sensing node. A 24-GHz CW radar illuminates a compact programmable RIS tag whose effective radar cross section (RCS) is periodically modulated to embed data into the backscattered signal. The RIS is composed of four unit cells, each loaded with PIN diodes that act as switching elements. Modulation is achieved by controlling the biasing of the diodes. Data is encoded through discrete RIS modulation frequencies and recovered from symmetric radar baseband sidebands, shifting information away from DC clutter and providing robustness to common Doppler-induced frequency offsets. The sensing node does not perform any active RF transmission and relies solely on the low-frequency electronic control of the RIS. Indoor experiments demonstrate real-time sensing with a symbol duration of 250 ms, error-free frame reception for static or moving tags up to 10 m and 4 m, respectively, and an average packet error rate (PER) below 0.1% during prolonged operation.

Identifiers

PMID42204306
PMCPMC13443784

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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.