Evidence map›Paper›PMID 30823662›Full record

ArticleSensors (Basel, Switzerland)2019

An Improved Modified Universal Ultra-Wideband Antenna Designed for Step Frequency Continuous Wave Ground Penetrating Radar System.

Yuxuan Wu, Feng Shen, Yue Yuan, Dingjie Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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
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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.

Yuxuan WuSchool of Instrumental Science and Engineering, Harbin Institute of Technology, No. 92, Xidazhi Street, Nangang District, Harbin 150001, China. 18S001037@stu.hit.edu.cn.
Feng ShenSchool of Instrumental Science and Engineering, Harbin Institute of Technology, No. 92, Xidazhi Street, Nangang District, Harbin 150001, China. fshen@hit.edu.cn.
Yue YuanSchool of Instrumental Science and Engineering, Harbin Institute of Technology, No. 92, Xidazhi Street, Nangang District, Harbin 150001, China. yyuansept@163.com.
Dingjie XuSchool of Instrumental Science and Engineering, Harbin Institute of Technology, No. 92, Xidazhi Street, Nangang District, Harbin 150001, China. xdj1966@hit.edu.cn.

Funding

National Natural Science Foundation of China 61374208, 61673128, 61573117Natural Science Foundation of Heilongjiang Province F2015031
6 · The paper itself

Abstract

Step Frequency Continuous Wave Ground Penetrating Radar (SFCW-GPR), as a tool for nondestructive testing of shallow soil surface targets, the realization of the function of SFCW-GPR is mainly based on the theory of refraction, reflection and scattering of electromagnetic wave in the discontinuity of dielectric constant. So, the UWB antenna system, an important part of SFCW-GPR, becomes more indispensable. In this paper, an improved modified universal antenna is designed, simulated and fabricated. Based on a typical Bow-tie antenna, it is modified by the methods of lumped loads, cavity-backed loading and structure loading. The simulated and measured results show that the UWB antenna has 1.36 GHz bandwidth from 0.64 to 2.0 GHz with three resonant wavelength peaks, and having been modified and improved, the UWB antenna performances including voltage standing-wave ratio (VSWR), input impedance, the boresight gain and current distribution, are much better than the typical Bow-tie antenna. In addition, the results of verification experiment of Step Frequency Continuous Wave (SFCW) show that the antenna can be applied to the working scenarios of SFCW-GPR.

Indexed as

antennaground penetrating radaroptimization methodStep Frequency Continuous Waveultra-wideband

Identifiers

PMID30823662
PMCPMC6427258

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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.