Comparative Analysis on Tropospheric Scintillation Prediction Models for Bangladeshi Climate

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
孟加拉国气候对流层闪烁预测模式的比较分析
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Internet of Things (IoT) based Smart Traffic Management System: A Context of Bangladesh Comparative Analysis of Stairways Detection Based on RGB and RGB-D Image Comparative Analysis on Tropospheric Scintillation Prediction Models for Bangladeshi Climate A New Design Approach for Gesture Controlled Smart Wheelchair Utilizing Microcontroller Emotion Detection from Text Using Skip-thought Vectors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1