A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation

In this paper, a method of angle error extraction for binary phase-shift keying (BPSK) modulated signals based on instantaneous autocorrelation is proposed for the monopulse angle tracking problem of BPSK signal under a low bit signal to noise ratio (SNR). It reduces the effect of noise on the angle...

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Main Authors: Song Xiao-rui, Zheng Hai-xin, Zeng Chuang-zhan
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20165605004
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spelling doaj-741f6c5094d743ad880ad6fac17e432e2021-03-02T10:51:59ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01560500410.1051/matecconf/20165605004matecconf_iccae2016_05004A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous AutocorrelationSong Xiao-rui0Zheng Hai-xin1Zeng Chuang-zhan2Department of Graduate Management, Equipment AcademyDepartment of Optical and Electronic Equipment, Equipment AcademyDepartment of Graduate Management, Equipment AcademyIn this paper, a method of angle error extraction for binary phase-shift keying (BPSK) modulated signals based on instantaneous autocorrelation is proposed for the monopulse angle tracking problem of BPSK signal under a low bit signal to noise ratio (SNR). It reduces the effect of noise on the angle error extraction efficiently by using the characteristics of the instantaneous autocorrelation of noise. The effectiveness and reliability of the theoretical algorithm are proved by MATLAB simulation. As simulation results shown, this method has a good performance under ideal Gaussian noise background. When bit SNR is greater than 2dBHz, the relative error of the estimation results can be less than 5%.http://dx.doi.org/10.1051/matecconf/20165605004
collection DOAJ
language English
format Article
sources DOAJ
author Song Xiao-rui
Zheng Hai-xin
Zeng Chuang-zhan
spellingShingle Song Xiao-rui
Zheng Hai-xin
Zeng Chuang-zhan
A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
MATEC Web of Conferences
author_facet Song Xiao-rui
Zheng Hai-xin
Zeng Chuang-zhan
author_sort Song Xiao-rui
title A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
title_short A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
title_full A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
title_fullStr A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
title_full_unstemmed A Method of Angle Error Extraction for BPSK Modulated Signals Based on Instantaneous Autocorrelation
title_sort method of angle error extraction for bpsk modulated signals based on instantaneous autocorrelation
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description In this paper, a method of angle error extraction for binary phase-shift keying (BPSK) modulated signals based on instantaneous autocorrelation is proposed for the monopulse angle tracking problem of BPSK signal under a low bit signal to noise ratio (SNR). It reduces the effect of noise on the angle error extraction efficiently by using the characteristics of the instantaneous autocorrelation of noise. The effectiveness and reliability of the theoretical algorithm are proved by MATLAB simulation. As simulation results shown, this method has a good performance under ideal Gaussian noise background. When bit SNR is greater than 2dBHz, the relative error of the estimation results can be less than 5%.
url http://dx.doi.org/10.1051/matecconf/20165605004
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