基于DSP的光伏系统中噪声对多频信号的影响

D. Kania, J. Borkowski, J. Mroczka
{"title":"基于DSP的光伏系统中噪声对多频信号的影响","authors":"D. Kania, J. Borkowski, J. Mroczka","doi":"10.1109/TSP.2018.8441187","DOIUrl":null,"url":null,"abstract":"Digital signal processing is used in many areas of technology, science and industry. One of them is analysis of multifrequency signals in PV systems where an estimation method is necessary to run the system. Recently, a new method was developed to estimate frequency, amplitude and phase. It can obtain results very fast (even below one cycle of the tested signal) and it is also very accurate. It is not computationally complex and eliminates the impact of the conjugate component in the spectrum. This paper presents expressions for variances of amplitude and phase estimators taking into account the conjugate component in calculations. Simulation results show that the accuracy of expressions is very high in the tested range of maximum two cycles of distorted by AWGN noise signals taken into calculations. Results were compared with proper Cramér-Rao Bounds in various measurement conditions. Presented expressions allow to calculate error levels of the estimation based on the measurement parameters before starting the estimation process.","PeriodicalId":383018,"journal":{"name":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Noise on Multifrequency Signals for the Amplitude and Phase Estimation in Photovoltaic Systems with a DSP Processor\",\"authors\":\"D. Kania, J. Borkowski, J. Mroczka\",\"doi\":\"10.1109/TSP.2018.8441187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Digital signal processing is used in many areas of technology, science and industry. One of them is analysis of multifrequency signals in PV systems where an estimation method is necessary to run the system. Recently, a new method was developed to estimate frequency, amplitude and phase. It can obtain results very fast (even below one cycle of the tested signal) and it is also very accurate. It is not computationally complex and eliminates the impact of the conjugate component in the spectrum. This paper presents expressions for variances of amplitude and phase estimators taking into account the conjugate component in calculations. Simulation results show that the accuracy of expressions is very high in the tested range of maximum two cycles of distorted by AWGN noise signals taken into calculations. Results were compared with proper Cramér-Rao Bounds in various measurement conditions. Presented expressions allow to calculate error levels of the estimation based on the measurement parameters before starting the estimation process.\",\"PeriodicalId\":383018,\"journal\":{\"name\":\"2018 41st International Conference on Telecommunications and Signal Processing (TSP)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 41st International Conference on Telecommunications and Signal Processing (TSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSP.2018.8441187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 41st International Conference on Telecommunications and Signal Processing (TSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSP.2018.8441187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

数字信号处理在技术、科学和工业的许多领域都有应用。其中之一是光伏系统中多频信号的分析,其中需要一种估计方法来保证系统的运行。近年来,提出了一种新的估计频率、幅度和相位的方法。它可以非常快地获得结果(甚至低于被测信号的一个周期),并且也非常准确。它不需要计算复杂,并且消除了频谱中共轭分量的影响。本文给出了计算中考虑共轭分量的幅值估计和相位估计的方差表达式。仿真结果表明,在考虑AWGN噪声信号畸变的最大两个周期的测试范围内,表达式的精度很高。结果比较了不同测量条件下适宜的cram - rao边界。给出的表达式允许在开始估计过程之前根据测量参数计算估计的误差水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Noise on Multifrequency Signals for the Amplitude and Phase Estimation in Photovoltaic Systems with a DSP Processor
Digital signal processing is used in many areas of technology, science and industry. One of them is analysis of multifrequency signals in PV systems where an estimation method is necessary to run the system. Recently, a new method was developed to estimate frequency, amplitude and phase. It can obtain results very fast (even below one cycle of the tested signal) and it is also very accurate. It is not computationally complex and eliminates the impact of the conjugate component in the spectrum. This paper presents expressions for variances of amplitude and phase estimators taking into account the conjugate component in calculations. Simulation results show that the accuracy of expressions is very high in the tested range of maximum two cycles of distorted by AWGN noise signals taken into calculations. Results were compared with proper Cramér-Rao Bounds in various measurement conditions. Presented expressions allow to calculate error levels of the estimation based on the measurement parameters before starting the estimation process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信