Evidence map›Paper›PMID 33916684›Full record

ArticleSensors (Basel, Switzerland)2021

A Proposal of a Troposphere Model in a GNSS Simulator for VANET Applications.

Mauro Tropea, Angelo Arieta, Floriano De Rango, Francesco Pupo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

4 authors.

Mauro TropeaDepartment of Informatics, Modeling, Electronics and System Engineering (DIMES), University of Calabria, Via P.Bucci 39/c, 87036 Rende, Italy.ORCID 0000-0003-0593-5254
Angelo ArietaNTT Data, c.da Cutura, Via Spagna 50, 87036 Rende, Italy.
Floriano De RangoDepartment of Informatics, Modeling, Electronics and System Engineering (DIMES), University of Calabria, Via P.Bucci 39/c, 87036 Rende, Italy.
Francesco PupoDepartment of Informatics, Modeling, Electronics and System Engineering (DIMES), University of Calabria, Via P.Bucci 39/c, 87036 Rende, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vehicle positioning is becoming an important issue related to Intelligent Transportation Systems (ITSs). Novel vehicles and autonomous vehicles need to be localized under different weather conditions and it is important to have a reliable positioning system to track vehicles. Satellite navigation systems can be a key technology in providing global coverage and providing localization services through many satellite constellations such as GPS, GLONASS, Galileo and so forth. However, the modeling of positioning and localization systems under different weather conditions is not a trivial objective especially considering different factors such as receiver sensitivity, dynamic weather conditions, propagation delay and so forth. This paper focuses on the use of simulators for performing different kinds of tests on Global Navigation Satellite System (GNSS) systems in order to reduce the cost of the positioning testing under different techniques or models. Simulation driven approach, combined with some specific hardware equipment such as receivers and transmitters can characterize a more realistic scenario and the simulation can consider other aspects that could be complex to really test. In this work, the main contribution is the introduction of the Troposphere Collins model in a GNSS simulator for VANET applications, the GPS-SDR-SIM software. The use of the Collins model in the simulator allows to improve the accuracy of the simulation experiments throughout the reduction of the receiver errors.

Indexed as

GNSS simulatorGPS receiverpositioning systemtroposphere modelVANET

Identifiers

PMID33916684
PMCPMC8038354

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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.