{"title":"马德普拉塔沿海地区水下环境噪声的特征","authors":"D. M. Petruzzi, Celeste Cebedio, L. Rabioglio","doi":"10.1109/RPIC53795.2021.9648503","DOIUrl":null,"url":null,"abstract":"Understanding the characteristics of the channel is a key factor in the design of a communication system. In particular, the underwater channel has the disadvantage of having great variability in relatively short periods of time. This requires having to have a method that allows obtaining the parameters that are essential when optimizing communication, so that it is adaptive. This article describes and applies a characterization technique for environmental noise measurement in shallow waters off the coast of Mar del Plata. The result showed the degree of closeness between the probability density function (pdf) of the aforementioned noise with respect to that of a Gaussian distribution.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterization of Ambient Noise Underwater in the coastal area of Mar del Plata\",\"authors\":\"D. M. Petruzzi, Celeste Cebedio, L. Rabioglio\",\"doi\":\"10.1109/RPIC53795.2021.9648503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding the characteristics of the channel is a key factor in the design of a communication system. In particular, the underwater channel has the disadvantage of having great variability in relatively short periods of time. This requires having to have a method that allows obtaining the parameters that are essential when optimizing communication, so that it is adaptive. This article describes and applies a characterization technique for environmental noise measurement in shallow waters off the coast of Mar del Plata. The result showed the degree of closeness between the probability density function (pdf) of the aforementioned noise with respect to that of a Gaussian distribution.\",\"PeriodicalId\":299649,\"journal\":{\"name\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RPIC53795.2021.9648503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Characterization of Ambient Noise Underwater in the coastal area of Mar del Plata
Understanding the characteristics of the channel is a key factor in the design of a communication system. In particular, the underwater channel has the disadvantage of having great variability in relatively short periods of time. This requires having to have a method that allows obtaining the parameters that are essential when optimizing communication, so that it is adaptive. This article describes and applies a characterization technique for environmental noise measurement in shallow waters off the coast of Mar del Plata. The result showed the degree of closeness between the probability density function (pdf) of the aforementioned noise with respect to that of a Gaussian distribution.