{"title":"使用对数正态阴影的室内信号传播模型","authors":"R. Desimone, Betsy Mendieta Brito, J. Baston","doi":"10.1109/LISAT.2015.7160217","DOIUrl":null,"url":null,"abstract":"Indoor signal propagation characteristics can be difficult to predict accurately. Factors such as building layout and building materials can have a major effect on signal propagation. In this paper we will model indoor signal propagation using lognormal shadowing characteristics. The benefit of this model over others is its simplicity. The accuracy of this model at predicting the relationship between received signal strength (RSS) and the distance from transmitter to receiver will be determined. The link that was tested and modeled uses the IEEE 802.11n standard. Both 2.4 GHz and 5 GHz Industrial Scientific and Medical (ISM) bands were tested and modeled.","PeriodicalId":235333,"journal":{"name":"2015 Long Island Systems, Applications and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Model of indoor signal propagation using log-normal shadowing\",\"authors\":\"R. Desimone, Betsy Mendieta Brito, J. Baston\",\"doi\":\"10.1109/LISAT.2015.7160217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Indoor signal propagation characteristics can be difficult to predict accurately. Factors such as building layout and building materials can have a major effect on signal propagation. In this paper we will model indoor signal propagation using lognormal shadowing characteristics. The benefit of this model over others is its simplicity. The accuracy of this model at predicting the relationship between received signal strength (RSS) and the distance from transmitter to receiver will be determined. The link that was tested and modeled uses the IEEE 802.11n standard. Both 2.4 GHz and 5 GHz Industrial Scientific and Medical (ISM) bands were tested and modeled.\",\"PeriodicalId\":235333,\"journal\":{\"name\":\"2015 Long Island Systems, Applications and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Long Island Systems, Applications and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LISAT.2015.7160217\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Long Island Systems, Applications and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISAT.2015.7160217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model of indoor signal propagation using log-normal shadowing
Indoor signal propagation characteristics can be difficult to predict accurately. Factors such as building layout and building materials can have a major effect on signal propagation. In this paper we will model indoor signal propagation using lognormal shadowing characteristics. The benefit of this model over others is its simplicity. The accuracy of this model at predicting the relationship between received signal strength (RSS) and the distance from transmitter to receiver will be determined. The link that was tested and modeled uses the IEEE 802.11n standard. Both 2.4 GHz and 5 GHz Industrial Scientific and Medical (ISM) bands were tested and modeled.