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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.
Afiliação
  • Duong VM; Department of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
  • Vesely J; Department of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
  • Hubacek P; Department of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
  • Janu P; Department of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.
  • Phan NG; Department of Electronic Warfare, Faculty of Radio-Electronic Engineering, LE QUY DON Technical University, 236 Hoang Quoc Viet, Bac Tu Liem, Hanoi 10000, Vietnam.
Sensors (Basel) ; 22(9)2022 Apr 21.
Article em En | MEDLINE | ID: mdl-35590892
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: República Tcheca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: República Tcheca