Harmonic detection algorithm based on improved SVD and Prony

Harmonic detection algorithm based on improved SVD and Prony

An improved algorithm based on singular value decomposition(SVD) and Prony is proposed to solve the problem that the traditional Prony algorithm is not very accurate because it is sensitive to noise during harmonic and inter-harmonic detection. Based on SVD theory, a singular point auxiliary algorit...

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Bibliographic Details
Main Authors: Ying Jun, Zhu Yunpeng, He Chao
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2019-01-01
Series:Dianzi Jishu Yingyong
Subjects:
harmonic detection
singular value decomposition
singular point detection
Prony
Online Access:http://www.chinaaet.com/article/3000096357
id doaj-db00c22d3b6d40af9b96d4ef30c69a7a
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spelling doaj-db00c22d3b6d40af9b96d4ef30c69a7a2020-11-25T01:08:08ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982019-01-01451465010.16157/j.issn.0258-7998.1827873000096357Harmonic detection algorithm based on improved SVD and PronyYing Jun0Zhu Yunpeng1He Chao2School of Optoelectronic Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，ChinaSchool of Optoelectronic Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，ChinaKey Laboratory of Optical Communication and Networks，Chongqing University of Posts and Telecommunications， Chongqing 400065，ChinaAn improved algorithm based on singular value decomposition(SVD) and Prony is proposed to solve the problem that the traditional Prony algorithm is not very accurate because it is sensitive to noise during harmonic and inter-harmonic detection. Based on SVD theory, a singular point auxiliary algorithm is proposed to select the effective order of singular value decomposition adaptively, so as to accurately filter out the noise signal. According to the exact effective order, the improved Prony algorithm is used to identify the parameters of the signal after noise elimination, and the parameters of each harmonic and its components can be estimated accurately. Through MATLAB simulation analysis, it is shown that the algorithm can accurately extract the parameter information of power signal and has certain application value.http://www.chinaaet.com/article/3000096357harmonic detectionsingular value decompositionsingular point detectionProny
collection DOAJ
language zho
format Article
sources DOAJ
author Ying Jun
Zhu Yunpeng
He Chao
spellingShingle Ying Jun
Zhu Yunpeng
He Chao
Harmonic detection algorithm based on improved SVD and Prony
Dianzi Jishu Yingyong
harmonic detection
singular value decomposition
singular point detection
Prony
author_facet Ying Jun
Zhu Yunpeng
He Chao
author_sort Ying Jun
title Harmonic detection algorithm based on improved SVD and Prony
title_short Harmonic detection algorithm based on improved SVD and Prony
title_full Harmonic detection algorithm based on improved SVD and Prony
title_fullStr Harmonic detection algorithm based on improved SVD and Prony
title_full_unstemmed Harmonic detection algorithm based on improved SVD and Prony
title_sort harmonic detection algorithm based on improved svd and prony
publisher National Computer System Engineering Research Institute of China
series Dianzi Jishu Yingyong
issn 0258-7998
publishDate 2019-01-01
description An improved algorithm based on singular value decomposition(SVD) and Prony is proposed to solve the problem that the traditional Prony algorithm is not very accurate because it is sensitive to noise during harmonic and inter-harmonic detection. Based on SVD theory, a singular point auxiliary algorithm is proposed to select the effective order of singular value decomposition adaptively, so as to accurately filter out the noise signal. According to the exact effective order, the improved Prony algorithm is used to identify the parameters of the signal after noise elimination, and the parameters of each harmonic and its components can be estimated accurately. Through MATLAB simulation analysis, it is shown that the algorithm can accurately extract the parameter information of power signal and has certain application value.
topic harmonic detection
singular value decomposition
singular point detection
Prony
url http://www.chinaaet.com/article/3000096357
work_keys_str_mv AT yingjun harmonicdetectionalgorithmbasedonimprovedsvdandprony
AT zhuyunpeng harmonicdetectionalgorithmbasedonimprovedsvdandprony
AT hechao harmonicdetectionalgorithmbasedonimprovedsvdandprony
_version_ 1725184077930168320

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