{"title":"On modeling the sporadic impulsive noise rate within in-home power line networks","authors":"S. D'Alessandro, Marco De Piante, A. Tonello","doi":"10.1109/ISPLC.2015.7147606","DOIUrl":null,"url":null,"abstract":"The paper proposes a methodology to model the impulse rate of sporadic impulsive noise, namely the impulsive noise that is generated by the transients during the on/off switching of electrical appliances. In particular, it is proposed to exploit the publicly available datasets of power consumption measurements campaigns to derive the instants when a switching on/off event occurs. The statistics of the impulse rate is derived considering the data gathered during a six-month measurement in one of the houses of the GREEND dataset. Furthermore, to define the set of appliances that generate sporadic impulsive noise within the considered house, a noise measurement campaign at the source the corresponding analysis was carried out.","PeriodicalId":222123,"journal":{"name":"2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Power Line Communications and Its Applications (ISPLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPLC.2015.7147606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The paper proposes a methodology to model the impulse rate of sporadic impulsive noise, namely the impulsive noise that is generated by the transients during the on/off switching of electrical appliances. In particular, it is proposed to exploit the publicly available datasets of power consumption measurements campaigns to derive the instants when a switching on/off event occurs. The statistics of the impulse rate is derived considering the data gathered during a six-month measurement in one of the houses of the GREEND dataset. Furthermore, to define the set of appliances that generate sporadic impulsive noise within the considered house, a noise measurement campaign at the source the corresponding analysis was carried out.