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

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 seco...

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Autores principales: Duong, Van Minh, Vesely, Jiri, Hubacek, Petr, Janu, Premysl, Phan, Nhat Giang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104757/
https://www.ncbi.nlm.nih.gov/pubmed/35590892
http://dx.doi.org/10.3390/s22093203
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author Duong, Van Minh
Vesely, Jiri
Hubacek, Petr
Janu, Premysl
Phan, Nhat Giang
author_facet Duong, Van Minh
Vesely, Jiri
Hubacek, Petr
Janu, Premysl
Phan, Nhat Giang
author_sort Duong, Van Minh
collection PubMed
description 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 [Formula: see text]
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spelling pubmed-91047572022-05-14 Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments † Duong, Van Minh Vesely, Jiri Hubacek, Petr Janu, Premysl Phan, Nhat Giang Sensors (Basel) Article 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 [Formula: see text] MDPI 2022-04-21 /pmc/articles/PMC9104757/ /pubmed/35590892 http://dx.doi.org/10.3390/s22093203 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Duong, Van Minh
Vesely, Jiri
Hubacek, Petr
Janu, Premysl
Phan, Nhat Giang
Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title_full Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title_fullStr Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title_full_unstemmed Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title_short Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments †
title_sort detection and parameter estimation analysis of binary shift keying signals in high noise environments †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104757/
https://www.ncbi.nlm.nih.gov/pubmed/35590892
http://dx.doi.org/10.3390/s22093203
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