Md. Rabiul Hossain, N. Uddin, Abu Zafar Md. Imran, Md. Jashim Uddin, A. Gafur
{"title":"Comparative Analysis on Tropospheric Scintillation Prediction Models for Bangladeshi Climate","authors":"Md. Rabiul Hossain, N. Uddin, Abu Zafar Md. Imran, Md. Jashim Uddin, A. Gafur","doi":"10.1109/ICISET.2018.8745618","DOIUrl":null,"url":null,"abstract":"Satellite communication depends on a number of environmental elements such as cloud, fog, rain and atmospheric scintillation. In this paper, the tropospheric scintillation of Bangladeshi climate is predicted by four different prediction models which are ITU-R, Karasawa, Van de Kamp and Otung. Humidity and temperature are used for analysis which is collected from Bangladesh Agriculture Research Council (BARC). Comparison on predicted results show that scintillation fade depth (SFD) is highest in Rajshahi and the SFD is lowest in Dhaka for all prediction models. 9.60dB, 10.6dB, 8.88dB and 14.1dB maximum SFD is found for ITU-R model, Karasawa model, Van de Kamp model and Otung model respectively for Rajshahi city. On the other hand 8.04dB, 8.85dB, 7.20dB and 11.8 dB minimum SFD is found for ITU-R model, Karasawa model, Van de Kamp model and Otung model respectively for Dhaka city.","PeriodicalId":6608,"journal":{"name":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","volume":"1 1","pages":"412-417"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Innovations in Science, Engineering and Technology (ICISET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISET.2018.8745618","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Satellite communication depends on a number of environmental elements such as cloud, fog, rain and atmospheric scintillation. In this paper, the tropospheric scintillation of Bangladeshi climate is predicted by four different prediction models which are ITU-R, Karasawa, Van de Kamp and Otung. Humidity and temperature are used for analysis which is collected from Bangladesh Agriculture Research Council (BARC). Comparison on predicted results show that scintillation fade depth (SFD) is highest in Rajshahi and the SFD is lowest in Dhaka for all prediction models. 9.60dB, 10.6dB, 8.88dB and 14.1dB maximum SFD is found for ITU-R model, Karasawa model, Van de Kamp model and Otung model respectively for Rajshahi city. On the other hand 8.04dB, 8.85dB, 7.20dB and 11.8 dB minimum SFD is found for ITU-R model, Karasawa model, Van de Kamp model and Otung model respectively for Dhaka city.
卫星通信依赖于许多环境因素,如云、雾、雨和大气闪烁。本文采用ITU-R、Karasawa、Van de Kamp和Otung四种不同的预测模式对孟加拉国气候对流层闪烁进行了预测。湿度和温度用于分析,数据来自孟加拉国农业研究委员会(BARC)。结果表明,各预报模式的闪烁衰减深度在拉杰沙希地区最高,在达卡地区最低。Rajshahi市的ITU-R模型、Karasawa模型、Van de Kamp模型和Otung模型的最大SFD分别为9.60dB、10.6dB、8.88dB和14.1dB。而达卡市的ITU-R模型、Karasawa模型、Van de Kamp模型和Otung模型的最小SFD分别为8.04dB、8.85dB、7.20dB和11.8 dB。