{"title":"EHF卫星通信仿真中衰减时间序列的生成","authors":"D. Hodges, R. Watson, A. Page, P. Watson","doi":"10.1109/MILCOM.2003.1290154","DOIUrl":null,"url":null,"abstract":"In this paper, a method for deriving time-series of attenuation on fixed satellite or terrestrial links is described. The method uses meteorological model forecast data and radar data and hence permits time coincident derivations for multiple sites that include the spatial correlation properties inherent in weather systems. The success of the technique depends upon insertion of the short interval temporal properties (varying typically over 1 second to 15 minutes) that are statistically independent between stations. The technique has immediate application to simulation of the performance of multi-media satellite to earth links and has longer-term significance in terms of operational real-time performance prediction.","PeriodicalId":435910,"journal":{"name":"IEEE Military Communications Conference, 2003. MILCOM 2003.","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Generation of attenuation time-series for EHF SATCOM simulation\",\"authors\":\"D. Hodges, R. Watson, A. Page, P. Watson\",\"doi\":\"10.1109/MILCOM.2003.1290154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a method for deriving time-series of attenuation on fixed satellite or terrestrial links is described. The method uses meteorological model forecast data and radar data and hence permits time coincident derivations for multiple sites that include the spatial correlation properties inherent in weather systems. The success of the technique depends upon insertion of the short interval temporal properties (varying typically over 1 second to 15 minutes) that are statistically independent between stations. The technique has immediate application to simulation of the performance of multi-media satellite to earth links and has longer-term significance in terms of operational real-time performance prediction.\",\"PeriodicalId\":435910,\"journal\":{\"name\":\"IEEE Military Communications Conference, 2003. MILCOM 2003.\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Military Communications Conference, 2003. MILCOM 2003.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.2003.1290154\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Military Communications Conference, 2003. MILCOM 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.2003.1290154","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generation of attenuation time-series for EHF SATCOM simulation
In this paper, a method for deriving time-series of attenuation on fixed satellite or terrestrial links is described. The method uses meteorological model forecast data and radar data and hence permits time coincident derivations for multiple sites that include the spatial correlation properties inherent in weather systems. The success of the technique depends upon insertion of the short interval temporal properties (varying typically over 1 second to 15 minutes) that are statistically independent between stations. The technique has immediate application to simulation of the performance of multi-media satellite to earth links and has longer-term significance in terms of operational real-time performance prediction.