Evidence map›Paper›PMID 38052848›Full record

ArticleScientific reports2023

Long-range and high-precision localization method for underwater bionic positioning system based on joint active-passive electrolocation.

Meijiang Hou, Hailong Wu, Jiegang Peng, Ke Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. 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

4 authors at 1 institution in 1 country.

Meijiang Hou *School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Hailong Wu *School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Jiegang PengSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. pengjiegang@uestc.edu.cn.
Ke LiSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
University of Electronic Science and Technology of China · CN

Funding

National Natural Science Foundation of China 62273075Natural Science Foundation of Sichuan Provincial 2022NSFSC0800Opening Foundation of National Engineering Laboratory for Test and Experiment Technology of Marine Engineering Equipment 750NEL-2021-01
6 · The paper itself

Abstract

Active electrolocation organ of weakly electric fish act as a proximity detection system with high accuracy in recognizing object parameters such as size and shape. In contrast, some fish with passive electrolocation organ are able to detect objects at a greater range. This paper proposes a joint active-passive electrolocation algorithm for long-range and high-precision underwater localization, inspired by the active and passive electroreceptive organs of fish. The study begins by designing a large experimental platform for the underwater localization system to investigate the response of underwater objects to active and passive electric fields. Based on the response, the paper proposes separate underwater active and passive electrolocation algorithms, which are then combined to form a joint algorithm. Experimental results demonstrate that the proposed algorithm achieves high localization accuracy and long detection distance. The joint active-passive electrolocation algorithm has potential applications in submarine resource exploration, underwater robotics, and maritime military projects, while also providing new ideas for future research on long-range underwater object detection and identification based on electrolocation.

Identifiers

PMID38052848
PMCPMC10698040
OpenAlexW4389397794

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.