Evidence map›Paper›PMID 38732821›Full record

ArticleSensors (Basel, Switzerland)2024

Modified RTK-GNSS for Challenging Environments.

Ellarizza Fredeluces, Tomohiro Ozeki, Nobuaki Kubo, Ahmed El-Mowafy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

4 authors.

Ellarizza FredelucesDepartment of Marine Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.
Tomohiro OzekiDepartment of Marine Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.
Nobuaki KuboDepartment of Marine Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan.ORCID 0000-0001-6174-5469
Ahmed El-MowafySchool of Earth and Planetary Sciences, Curtin University, Perth 6102, Australia.ORCID 0000-0001-7060-4123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) is currently the premier technique for achieving centimeter-level accuracy quickly and easily. However, the robustness of RTK-GNSS diminishes in challenging environments due to severe multipath effects and a limited number of available GNSS signals. This is a pressing issue, especially for GNSS users in the navigation industry. This paper proposes and evaluates several methodologies designed to overcome these issues by enhancing the availability and reliability of RTK-GNSS solutions in urban environments. Our novel approach involves the integration of conventional methods with a new technique that leverages surplus satellites-those not initially used for positioning-to more reliably detect incorrect fix solutions. We conducted three tests in densely built-up areas within the Tokyo region. The results demonstrate that our approach not only surpasses the fix rate of the latest commercial receivers and a popular open-source RTK-GNSS program but also improves positional reliability to levels comparable to or exceeding those of the aforementioned commercial technology.

Indexed as

multipathnavigationreliabilityRTK

Identifiers

PMID38732821
PMCPMC11086102

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.