一种新的超宽带脉冲波形设计方法

Seyed Noorodin Keshavarz, Saeed Hajizadeh, M. Hamidi, Mahdi Gholami Omali
{"title":"一种新的超宽带脉冲波形设计方法","authors":"Seyed Noorodin Keshavarz, Saeed Hajizadeh, M. Hamidi, Mahdi Gholami Omali","doi":"10.1109/NGMAST.2010.42","DOIUrl":null,"url":null,"abstract":"Avoiding interference, one of the efficient methods is to design appropriate pulse waveform. In this paper an optimized pulse design method is proposed as ultra wideband (UWB) pulse shapes that made use of a linear only triple-pulse combination of multiple Gaussian derivatives. So as to gain the best weight coefficient, we proposed to optimize its weight vector and shaping factor by particle swarm optimization (PSO) technique, which is an optimization method inspired by swarm behavior. Then we use the standard Gaussian approximation (SGA) algorithm to evaluate the performance of these pulses in the presence of multiuser interference (MUI). The simulation results show that the linear Gaussian combined UWB pulses meet the power spectral constraint of the Federal Communication Commission (FCC) emission mask rule. Furthermore, its performance is better than single Gaussian derivation pulse or other ways to satisfy some demand.","PeriodicalId":184193,"journal":{"name":"2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Novel UWB Pulse Waveform Design Method\",\"authors\":\"Seyed Noorodin Keshavarz, Saeed Hajizadeh, M. Hamidi, Mahdi Gholami Omali\",\"doi\":\"10.1109/NGMAST.2010.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Avoiding interference, one of the efficient methods is to design appropriate pulse waveform. In this paper an optimized pulse design method is proposed as ultra wideband (UWB) pulse shapes that made use of a linear only triple-pulse combination of multiple Gaussian derivatives. So as to gain the best weight coefficient, we proposed to optimize its weight vector and shaping factor by particle swarm optimization (PSO) technique, which is an optimization method inspired by swarm behavior. Then we use the standard Gaussian approximation (SGA) algorithm to evaluate the performance of these pulses in the presence of multiuser interference (MUI). The simulation results show that the linear Gaussian combined UWB pulses meet the power spectral constraint of the Federal Communication Commission (FCC) emission mask rule. Furthermore, its performance is better than single Gaussian derivation pulse or other ways to satisfy some demand.\",\"PeriodicalId\":184193,\"journal\":{\"name\":\"2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGMAST.2010.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2010.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

避免干扰的有效方法之一是设计合适的脉冲波形。本文提出了一种利用多个高斯导数的线性三脉冲组合作为超宽带脉冲形状的优化脉冲设计方法。为了获得最优的权重系数,提出了一种受群体行为启发的优化方法——粒子群优化(PSO)技术对其权重向量和塑造因子进行优化。然后,我们使用标准高斯近似(SGA)算法来评估这些脉冲在多用户干扰(MUI)存在下的性能。仿真结果表明,线性高斯组合超宽带脉冲满足美国联邦通信委员会(FCC)发射掩模规则的功率谱约束。此外,在满足某些要求的情况下,该方法的性能优于单高斯导数脉冲或其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Novel UWB Pulse Waveform Design Method
Avoiding interference, one of the efficient methods is to design appropriate pulse waveform. In this paper an optimized pulse design method is proposed as ultra wideband (UWB) pulse shapes that made use of a linear only triple-pulse combination of multiple Gaussian derivatives. So as to gain the best weight coefficient, we proposed to optimize its weight vector and shaping factor by particle swarm optimization (PSO) technique, which is an optimization method inspired by swarm behavior. Then we use the standard Gaussian approximation (SGA) algorithm to evaluate the performance of these pulses in the presence of multiuser interference (MUI). The simulation results show that the linear Gaussian combined UWB pulses meet the power spectral constraint of the Federal Communication Commission (FCC) emission mask rule. Furthermore, its performance is better than single Gaussian derivation pulse or other ways to satisfy some demand.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Dual Band Circularly Polarized Microstrip Patch Antenna for Wi-Fi Applications LTE Capacity and Service Continuity in Multi Radio Environment Uplink Interference Co-ordination/Avoidance in LTE Systems A Windows Mobile Based Application for Detection of Cancer in Squamous Cell An Intelligent Scheme for First Run Cognitive Radios
×
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