Some remarks on the Dirac delta function approximation for ASER analysis of digital modulations over fading channels

E. Adebola, O. Olabiyi, A. Annamalai
{"title":"Some remarks on the Dirac delta function approximation for ASER analysis of digital modulations over fading channels","authors":"E. Adebola, O. Olabiyi, A. Annamalai","doi":"10.1109/MILCOM.2012.6415874","DOIUrl":null,"url":null,"abstract":"In this article, we apply two distinct methods to obtain simple closed-form approximations for the average symbol error rate (ASER) performance metric of a broad class of coherent digital modulations in a myriad of fading environments (with/without diversity), which are known to be analytically involved as they require evaluation of the expectation of the Gaussian Q-function and/or its integer powers. In the first approach, we exploit the shifting property of Dirac delta approximations of the Q-function to circumvent the need for integration. In the second approach, we introduce tight exponential-type approximations for the Q-function that directly lead to the development of closed-form expressions for the ASER in terms of only the moment generating function (MGF) of the received signal-to-noise ratio (SNR) random variable. Numerical results reveal that our proposed solutions based on the MGF method are much more versatile and can yield better accuracy compared to our approximations derived via the Dirac delta approximation technique.","PeriodicalId":18720,"journal":{"name":"MILCOM 2012 - 2012 IEEE Military Communications Conference","volume":"135 7 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 2012 - 2012 IEEE Military Communications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.2012.6415874","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

In this article, we apply two distinct methods to obtain simple closed-form approximations for the average symbol error rate (ASER) performance metric of a broad class of coherent digital modulations in a myriad of fading environments (with/without diversity), which are known to be analytically involved as they require evaluation of the expectation of the Gaussian Q-function and/or its integer powers. In the first approach, we exploit the shifting property of Dirac delta approximations of the Q-function to circumvent the need for integration. In the second approach, we introduce tight exponential-type approximations for the Q-function that directly lead to the development of closed-form expressions for the ASER in terms of only the moment generating function (MGF) of the received signal-to-noise ratio (SNR) random variable. Numerical results reveal that our proposed solutions based on the MGF method are much more versatile and can yield better accuracy compared to our approximations derived via the Dirac delta approximation technique.
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
关于衰落信道上数字调制激光激光分析中狄拉克函数近似的几点评述
在本文中,我们应用两种不同的方法来获得在无数衰落环境(有/没有分集)中广泛类别的相干数字调制的平均符号误码率(ASER)性能指标的简单封闭形式近似值,这些环境已知是解析性的,因为它们需要评估高斯q函数的期望和/或其整数幂。在第一种方法中,我们利用q函数的狄拉克δ近似的移位特性来规避积分的需要。在第二种方法中,我们引入q函数的紧密指数型近似,直接导致ASER仅根据接收的信噪比(SNR)随机变量的矩生成函数(MGF)开发封闭形式表达式。数值结果表明,我们提出的基于MGF方法的解比通过Dirac近似技术得到的近似更通用,并且可以产生更好的精度。
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 Open Standard for Ka-band Interoperable Satellite Antennas An approach to data correlation using JC3IEDM model The U.s. Army and Network-centric Warfare a Thematic Analysis of the Literature Technology diffusion and military users: Perceptions that predict adoption Cooperative Multi-tree Sleep Scheduling for Surveillance in Wireless Sensor Networks
×
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