Evidence map›Paper›PMID 36772374›Full record

ArticleSensors (Basel, Switzerland)2023

Frequency Comb-Based Ground-Penetrating Bioradar: System Implementation and Signal Processing.

Di Shi, Gunnar Gidion, Taimur Aftab, Leonhard M Reindl, Stefan J Rupitsch

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Di ShiLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.ORCID 0000-0003-3987-6731
Gunnar GidionLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.ORCID 0000-0002-0114-9056
Taimur AftabLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.
Leonhard M ReindlLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.ORCID 0000-0002-5068-8929
Stefan J RupitschLaboratory for Electrical Instrumentation and Embedded Systems, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany.ORCID 0000-0002-4806-9838

Funding

Federal Ministry of Education and Research 13N15189
6 · The paper itself

Abstract

Radars can be used as sensors to detect the breathing of victims trapped under layers of building materials in catastrophes like earthquakes or gas explosions. In this contribution, we present the implementation of a novel frequency comb continuous wave (FCCW) bioradar module using a commercial software-defined radio (SDR). The FCCW radar transmits multiple equally spaced frequency components simultaneously. The data acquisition of the received combs is frequency domain-based. Hence, it does not require synchronization between the transmit and receive channels, as time domain-based broadband radars, such as ultra wideband (UWB) pulse radar and frequency-modulated CW (FMCW) radar, do. Since a frequency comb has an instantaneous wide bandwidth, the effective scan rate is much higher than that of a step frequency CW (SFCW) radar. This FCCW radar is particularly suitable for small motion detection. Using inverse fast Fourier transform (IFFT), we can decompose the received frequency comb into different ranges and remove ghost signals and interference of further range intervals. The frequency comb we use in this report has a bandwidth of only 60 MHz, resulting in a range resolution of up to 2.5 m, much larger than respiration-induced chest wall motions. However, we demonstrate that in the centimeter range, motions can be detected and evaluated by processing the received comb signals. We want to integrate the bioradar into an unmanned aircraft system for fast and safe search and rescue operations. As a trade-off between ground penetrability and the size and weight of the antenna and the radar module, we use 1.3 GHz as the center frequency. Field measurements show that the proposed FCCW bioradar can detect an alive person through different nonmetallic building materials.

Indexed as

bioradarfrequency combground-penetratingrange gatingrespiration detectionsearch and rescuesignal processingsoftware-defined radio

Identifiers

PMID36772374
PMCPMC9921065

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.