Multipath Fading Impact on the Quantizer Output Signal Energy Suppression

A. Gvozdarev, Yury A. Bryukhanov
{"title":"Multipath Fading Impact on the Quantizer Output Signal Energy Suppression","authors":"A. Gvozdarev, Yury A. Bryukhanov","doi":"10.1109/dspa53304.2022.9790741","DOIUrl":null,"url":null,"abstract":"The article presents the study of ADC performance in the presence of additive noise and input signal fading. The ADC device is represented by the quantization unit with antisymmetric characteristics, which resolves the possible overload situation with either the saturation or the reset strategies. The research is mainly focused on the low-resolution quantizers that are interesting from the practical perspectives of implementation in the Massive-MIMO systems with the hundreds of antenna elements. The input signal fading is accounted for by assuming that the instantaneous channel coefficient follows the complex Nakagami-m distribution. Based on the obtained earlier closed-form expressions for the ADC output signal statistics an energy suppression coefficient (as a quantifying measure of the induced distortions) was evaluated and analyzed for various system and channel parameters values. The possible ranges of analyzed parameters values yielding minimum suppression are calculated, and the worst-case scenarios are determined.","PeriodicalId":428492,"journal":{"name":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 24th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dspa53304.2022.9790741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The article presents the study of ADC performance in the presence of additive noise and input signal fading. The ADC device is represented by the quantization unit with antisymmetric characteristics, which resolves the possible overload situation with either the saturation or the reset strategies. The research is mainly focused on the low-resolution quantizers that are interesting from the practical perspectives of implementation in the Massive-MIMO systems with the hundreds of antenna elements. The input signal fading is accounted for by assuming that the instantaneous channel coefficient follows the complex Nakagami-m distribution. Based on the obtained earlier closed-form expressions for the ADC output signal statistics an energy suppression coefficient (as a quantifying measure of the induced distortions) was evaluated and analyzed for various system and channel parameters values. The possible ranges of analyzed parameters values yielding minimum suppression are calculated, and the worst-case scenarios are determined.
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
多径衰落对量化器输出信号能量抑制的影响
本文研究了加性噪声和输入信号衰落情况下ADC的性能。ADC器件由具有反对称特性的量化单元表示,解决了饱和或复位策略可能出现的过载情况。从实际应用的角度来看,低分辨率量化器在具有数百个天线单元的大规模mimo系统中的应用非常有趣。假设瞬时信道系数遵循复Nakagami-m分布,可以解释输入信号的衰落。基于先前获得的ADC输出信号统计的封闭表达式,评估和分析了不同系统和通道参数值下的能量抑制系数(作为诱导失真的量化度量)。计算了产生最小抑制的分析参数值的可能范围,并确定了最坏情况。
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
Iterative Adaptive Digital Processing of Semiconductor Barrier Structures Capacitance Transient Signals The Mathematical Models of Transformation non-Gaussian Random Processes in the non-Linear non-Inertial Elements Multipath Fading Impact on the Quantizer Output Signal Energy Suppression Digital Transformation is a Way to Increase the Effectiveness of Personal Telemedicine Design of Codebooks for Space-Time Block Code with Noncoherent GLRT-Based Reception
×
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