Recent results on correlated lognormal atmospheric turbulence channels

Fan Yang, Julian Cheng
{"title":"Recent results on correlated lognormal atmospheric turbulence channels","authors":"Fan Yang, Julian Cheng","doi":"10.1109/ICCNC.2016.7440656","DOIUrl":null,"url":null,"abstract":"The performance of free-space optical (FSO) communication systems is often compromised by atmospheric attenuation and fading effects. One effective counter fading technique is the spatial diversity. In this paper, an FSO system with spatial diversity is analyzed over correlated lognormal fading channels that may have nonidentical variance. We use a novel lognormal-Nakagami composite channel model to reveal the asymptotic behaviors of the correlated lognormal fading channels. We discover that the correlation among the lognormal channels can impose large signal-to-noise ratio (SNR) penalty when compared to the same system with independent lognormal channels. This property is not shared with the other commonly used fading channels. In addition, we also derive a compact expression for the asymptotic relative diversity order (ARDO) between an L branch maximal ratio combing system over correlated lognormal channels and a single branch system. It is found that the ARDO is related to the number of diversity branches as well as entry-wise norm of the covariance matrix of the logarithm of the lognormal channel states.","PeriodicalId":308458,"journal":{"name":"2016 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNC.2016.7440656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

The performance of free-space optical (FSO) communication systems is often compromised by atmospheric attenuation and fading effects. One effective counter fading technique is the spatial diversity. In this paper, an FSO system with spatial diversity is analyzed over correlated lognormal fading channels that may have nonidentical variance. We use a novel lognormal-Nakagami composite channel model to reveal the asymptotic behaviors of the correlated lognormal fading channels. We discover that the correlation among the lognormal channels can impose large signal-to-noise ratio (SNR) penalty when compared to the same system with independent lognormal channels. This property is not shared with the other commonly used fading channels. In addition, we also derive a compact expression for the asymptotic relative diversity order (ARDO) between an L branch maximal ratio combing system over correlated lognormal channels and a single branch system. It is found that the ARDO is related to the number of diversity branches as well as entry-wise norm of the covariance matrix of the logarithm of the lognormal channel states.
相关对数正态大气湍流通道的最新结果
自由空间光通信系统的性能经常受到大气衰减和衰落效应的影响。空间分集是一种有效的抗衰落技术。本文分析了具有空间分集的FSO系统在相关对数正态衰落信道中可能存在的不相同方差。我们使用一种新的对数正态- nakagami复合信道模型来揭示相关对数正态衰落信道的渐近行为。我们发现,与具有独立对数正态信道的系统相比,对数正态信道之间的相关性会造成较大的信噪比损失。此属性不与其他常用的衰落信道共享。此外,我们还得到了相关对数正态信道上的L支路最大比组合系统与单支路系统之间渐近相对分集阶(ARDO)的一个紧凑表达式。研究发现,ARDO与分集分支数以及对数正态信道状态的对数协方差矩阵的入口范数有关。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信