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高噪声环境下二进制移键控信号的检测与参数估计分析

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

作者信息

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

机构信息

Department of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of Defence, 662 10 Brno, Czech Republic.

Department of Electronic Warfare, Faculty of Radio-Electronic Engineering, LE QUY DON Technical University, 236 Hoang Quoc Viet, Bac Tu Liem, Hanoi 10000, Vietnam.

出版信息

Sensors (Basel). 2022 Apr 21;22(9):3203. doi: 10.3390/s22093203.

DOI:10.3390/s22093203
PMID:35590892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9104757/
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.

摘要

本文提出了一种基于互相关函数检测和估计二相相移键控(BPSK)信号参数的新方法。该方法由两个阶段组成。第一阶段用于检测或估计信号载波频率,第二阶段用于估计其脉冲宽度或符号率。首先,在MATLAB环境中利用巴克码7、11和13形式的模拟BPSK信号对该方法进行了研究。基于仿真结果,使用E8267C发生器产生的实时BPSK信号对该方法的功能进行了验证。本文第二部分对此进行了描述。实验测试结果证实,该方法能够检测和估计信噪比≥−21 dB的所有BPSK信号的参数。

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引用本文的文献

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本文引用的文献

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Automatic Modulation Classification of Digital Communication Signals Using SVM Based on Hybrid Features, Cyclostationary, and Information Entropy.基于混合特征、循环平稳性和信息熵的支持向量机数字通信信号自动调制分类
Entropy (Basel). 2019 Jul 30;21(8):745. doi: 10.3390/e21080745.
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Blind Estimation Methods for BPSK Signal Based on Duffing Oscillator.基于杜芬振子的 BPSK 信号盲估计方法。
Sensors (Basel). 2020 Nov 10;20(22):6412. doi: 10.3390/s20226412.