Evidence map›Paper›PMID 37430635›Full record

ArticleSensors (Basel, Switzerland)2023

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation.

Yuzhen Wang, Ting Zhou, Tianheng Xu, Honglin Hu

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. 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.

Yuzhen WangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.ORCID 0000-0003-2124-3901
Ting ZhouSchool of Microelectronics, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-0420-0566
Tianheng XuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.ORCID 0000-0002-7152-1378
Honglin HuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.ORCID 0000-0002-4665-5278

Funding

the National Key Research and Development Program of China No. 2018YFB1802300the Science and Technology Commission Foundation of Shanghai 22511100600the Science and Technology Commission Foundation of Shanghai No. 21511101400the Young Elite Scientists Sponsorship Program by CIC 2021QNRC001
6 · The paper itself

Abstract

For maritime broadband communications, atmospheric ducts can enable beyond line-of-sight communications or cause severe interference. Due to the strong spatial-temporal variability of atmospheric conditions in near-shore areas, atmospheric ducts have inherent spatial heterogeneity and suddenness. This paper aims to evaluate the effect of horizontally inhomogeneous ducts on maritime radio propagation through theoretical analysis and measurement validation. To make better use of meteorological reanalysis data, we design a range-dependent atmospheric duct model. Then, a sliced parabolic equation algorithm is proposed to improve the prediction accuracy of path loss. We derive the corresponding numerical solution and analyze the feasibility of the proposed algorithm under the range-dependent duct conditions. A 3.5 GHz long-distance radio propagation measurement is utilized to verify the algorithm. The spatial distribution characteristics of atmospheric ducts in the measurements are analyzed. Based on actual duct conditions, the simulation results are consistent with the measured path loss. The proposed algorithm outperforms the existing method during the multiple duct periods. We further investigate the influence of different duct horizontal characteristics on the received signal strength.

Indexed as

elevated ductevaporation ductmaritime communicationspath lossradio propagation measurement

Identifiers

PMID37430635
PMCPMC10221489

What OpenQuestion holds

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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.