基于循环平稳性的多信号识别方法在空间信道模拟器上的实验评估

H. Harada, H. Fujii, S. Miura, H. Kayama, Y. Okano, T. Imai
{"title":"基于循环平稳性的多信号识别方法在空间信道模拟器上的实验评估","authors":"H. Harada, H. Fujii, S. Miura, H. Kayama, Y. Okano, T. Imai","doi":"10.1109/DYSPAN.2011.5936250","DOIUrl":null,"url":null,"abstract":"An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. One way to address this problem is to use a multiple signal identification method in which appropriate notches suppress the effects of other signals. In this paper, we evaluate a multiple signal identification method based on test bed experiments. In order to evaluate the method in a realistic environment as a field test, a spatial channel emulator and an antenna of a mock terminal are applied to the test bed. The results reveal the effectiveness of the methodology in realistic spectrum sharing scenarios.","PeriodicalId":119856,"journal":{"name":"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental evaluation of cyclostationarity-based multiple signal identification method by using spatial channel emulator\",\"authors\":\"H. Harada, H. Fujii, S. Miura, H. Kayama, Y. Okano, T. Imai\",\"doi\":\"10.1109/DYSPAN.2011.5936250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. One way to address this problem is to use a multiple signal identification method in which appropriate notches suppress the effects of other signals. In this paper, we evaluate a multiple signal identification method based on test bed experiments. In order to evaluate the method in a realistic environment as a field test, a spatial channel emulator and an antenna of a mock terminal are applied to the test bed. The results reveal the effectiveness of the methodology in realistic spectrum sharing scenarios.\",\"PeriodicalId\":119856,\"journal\":{\"name\":\"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DYSPAN.2011.5936250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DYSPAN.2011.5936250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于循环平稳性的特征检测是一种重要且广泛使用的检测技术,因为该方法不需要信号带宽或帧格式等先验信息,也不需要时间和频率同步。传统的基于循环平稳性的特征检测的问题是,如果同时捕获多个不同接收功率水平的信号,则弱信号的检测概率会降低。解决这个问题的一种方法是使用多信号识别方法,其中适当的陷波抑制其他信号的影响。本文对一种基于试验台实验的多信号识别方法进行了研究。为了在真实环境下对该方法进行实地测试,在试验台上安装了空间信道模拟器和模拟终端天线。结果表明了该方法在实际频谱共享场景中的有效性。
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
Experimental evaluation of cyclostationarity-based multiple signal identification method by using spatial channel emulator
An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. One way to address this problem is to use a multiple signal identification method in which appropriate notches suppress the effects of other signals. In this paper, we evaluate a multiple signal identification method based on test bed experiments. In order to evaluate the method in a realistic environment as a field test, a spatial channel emulator and an antenna of a mock terminal are applied to the test bed. The results reveal the effectiveness of the methodology in realistic spectrum sharing scenarios.
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
TRUMP: Supporting efficient realization of protocols for cognitive radio networks Why the caged cognitive radio sings Towards characterizing primary usage in cellular networks: A traffic-based study Spatio-temporal spectrum holes and the secondary user A NLLS based sub-nyquist rate spectrum sensing for wideband cognitive radio
×
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