Evidence map›Paper›PMID 38917184›Full record

ArticlePloS one2024

Underwater target laser polarization suppression scattering detection technology and verification.

Qiang Fu, Chao Dong, Kaikai Wang, Qingyi He, Xiansong Gu, Jianhua Liu, Yong Zhu, Jin Duan

Abstract read
In one paragraph

Article in PloS one, 2024. 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. Article
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.

Qiang FuCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.ORCID 0000-0002-6198-5961
Chao DongCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Kaikai WangCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Qingyi HeCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Xiansong GuCollege of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
Jianhua LiuScience and Technology Branch, Changchun University of Science and Technology, Changchun, China.
Yong ZhuCollege of Computer Science, Changchun University of Science and Technology, Changchun, China.
Jin DuanCollege of Telecommunications, Changchun University of Science and Technology, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The underwater laser polarization detection technology integrates the polarization characteristics of light into the detection and identification of underwater targets. Addressing the challenge of poor accuracy in identifying targets in strong underwater scattering environments, this article proposes an overall scheme for a laser polarization underwater detection device that suppresses scatter using polarized pulse signals. By overcoming key technological barriers in the design of polarization-preserving optical detection systems and utilizing the method of differential amplitude to measure polarization, a laser polarization underwater detection device was developed and underwater polarization detection experiments were conducted, achieving precise detection of underwater targets. The results indicate that the underwater detection device we designed has a root mean square error of less than 5.7% to detect the polarization of the target, demonstrating the accuracy and precision of the underwater detection device.

Indexed as

LasersScattering, RadiationLightWaterWater

Identifiers

PMID38917184
PMCPMC11198894

What OpenQuestion holds

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LicenceCC BY
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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.