{"title":"基于空间分布点源的城市环境射频噪声建模","authors":"C. Haedrich, D. Breton","doi":"10.23919/USNC/URSI49741.2020.9321608","DOIUrl":null,"url":null,"abstract":"In previous work, we have observed significant variability in radio-frequency (RF) noise within neighborhoods of Boston, MA, USA [1]. Furthermore, the sources of this man-made RF noise appear to be point-like in nature [2]. However, there are no descriptions in the literature describing the relationship between the spatial pattern of sources within a neighborhood and the distribution of measured noise powers in the same area. Therefore, we developed a simple model with completely spatially random (CSR) point sources and compared the modeled results with our measurements from Boston. Our results show that, at the frequency studied, a simple CSR model effectively captures the heavy-tailed behavior present in our measurements. A source density of 280 sources per km2, a mean source power of 1 μW and a standard deviation of 7 dB are a reasonable match to the observed distribution in Boston, MA, USA.","PeriodicalId":443426,"journal":{"name":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling RF Noise in Urban Environments with Spatially Distributed Point Sources\",\"authors\":\"C. Haedrich, D. Breton\",\"doi\":\"10.23919/USNC/URSI49741.2020.9321608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In previous work, we have observed significant variability in radio-frequency (RF) noise within neighborhoods of Boston, MA, USA [1]. Furthermore, the sources of this man-made RF noise appear to be point-like in nature [2]. However, there are no descriptions in the literature describing the relationship between the spatial pattern of sources within a neighborhood and the distribution of measured noise powers in the same area. Therefore, we developed a simple model with completely spatially random (CSR) point sources and compared the modeled results with our measurements from Boston. Our results show that, at the frequency studied, a simple CSR model effectively captures the heavy-tailed behavior present in our measurements. A source density of 280 sources per km2, a mean source power of 1 μW and a standard deviation of 7 dB are a reasonable match to the observed distribution in Boston, MA, USA.\",\"PeriodicalId\":443426,\"journal\":{\"name\":\"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/USNC/URSI49741.2020.9321608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE USNC-CNC-URSI North American Radio Science Meeting (Joint with AP-S Symposium)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/USNC/URSI49741.2020.9321608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling RF Noise in Urban Environments with Spatially Distributed Point Sources
In previous work, we have observed significant variability in radio-frequency (RF) noise within neighborhoods of Boston, MA, USA [1]. Furthermore, the sources of this man-made RF noise appear to be point-like in nature [2]. However, there are no descriptions in the literature describing the relationship between the spatial pattern of sources within a neighborhood and the distribution of measured noise powers in the same area. Therefore, we developed a simple model with completely spatially random (CSR) point sources and compared the modeled results with our measurements from Boston. Our results show that, at the frequency studied, a simple CSR model effectively captures the heavy-tailed behavior present in our measurements. A source density of 280 sources per km2, a mean source power of 1 μW and a standard deviation of 7 dB are a reasonable match to the observed distribution in Boston, MA, USA.