Evidence map›Paper›PMID 35590892›Full record

ArticleSensors (Basel, Switzerland)2022

Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments.

Van Minh Duong, Jiri Vesely, Petr Hubacek, Premysl Janu, Nhat Giang Phan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Van Minh DuongDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.ORCID 0000-0002-8452-5044
Jiri VeselyDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
Petr HubacekDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
Premysl JanuDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.ORCID 0000-0002-5837-9557
Nhat Giang PhanDepartment of Electronic Warfare, Faculty of Radio-Electronic Engineering, LE QUY DON Technical University, 236 Hoang Quoc Viet, Bac Tu Liem, Hanoi 10000, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a new method for detecting and estimating the parameters of a binary phase shift keying (BPSK) signal, based on a cross-correlation function, is proposed. The proposed method consists of two stages. The first stage is used to detect or estimate a signal carrier frequency, and the second stage is used to estimate its pulse width or symbol rate. Firstly, the proposed method is investigated by use of a simulated BPSK signal in the form of Barker Codes 7, 11, and 13 in the MATLAB environment. Based on the simulation results, the functionality of this method is verified using a real-time BPSK signal generated by an E8267C generator. This is described in the second part of this paper. The experimental test results confirm that the proposed method is able to detect and estimate the parameters of all BPSK signals with SNR≥−21 dB.

Indexed as

barker codebinary phase shift keying signalcross-correlation function

Identifiers

PMID35590892
PMCPMC9104757

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.