Article(id=1242127988792300386, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242127982370820949, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2011.28.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1315238400000, receivedDateStr=2011-09-06, revisedDate=1316188800000, revisedDateStr=2011-09-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1318003200000, onlineDateStr=2011-10-08, pubDate=1318003200000, pubDateStr=2011-10-08, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1318003200000, onlineIssueDateStr=2011-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774075990147, creator=sys-migrate, updateTime=1774075990147, updator=sys-migrate, issue=Issue{id=1242127982370820949, tenantId=1146029695717560320, journalId=1146031591421210625, year='2011', volume='29', issue='28', pageStart='3', pageEnd='96', issueExtLink='null', onlineDate='null', pubDate='1318003200000', pubDateStr='2011-10-08', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774075988616, creator='sys-migrate', updateTime=1774075988616, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=33, endPage=36, ext={EN=ArticleExt(id=1242127992185487931, articleId=1242127988792300386, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Identifications of Underwater Acoustic Communication Signals Classification Based on Time-frequency Analysis and Neural Network, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=The fast detection of communication signals and the exact identification of their modulation types are of importance in practice. Traditional designs use detectors for each modulation type separately thus the computation time would increase as the number of modulation types increases. It is necessary to work out a standard feature vector extraction method to reduce the number of detectors. A novel identification scheme is proposed, with feature vectors being extracted from the time-frequency distribution and identified by an artificial neural network. By adding signal samples of new modulation types and by retraining the neural network, this identification scheme can recognize more modulation types without increase of computation burden. The detail of this feature vector extraction approach is described, the probability of the correct identification of the communication signals in low signal-to-noise conditions is obtained through computer simulations., authors=LU Yang, WANG Xuesong, ZHAO Pengyuan, ZHOU Hua, authorsList=LU Yang;WANG Xuesong;ZHAO Pengyuan;ZHOU Hua, authorCompany=No. 91439 Troop of PLA, Dalian 116041, Liaoning Province, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=uWy3sEzUT2kLafDpsT49Aw==, pdfFileSize=1274673, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242127991300489782, articleId=1242127988792300386, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于时频分析和神经网络的水声通信信号识别技术, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=水声通信信号识别具有重要的现实意义。传统的识别器是每种调制模式分别设计的检测器,因而运算量随调制模式数量的增加而增加。随着通信技术手段日益更新,调制模式不断翻新,传统识别器已经不能满足快速检测和识别信号的要求,设计统一的特征提取方法以减少检测器的数量非常迫切。从侦收信号的时频分布中提取特征向量,利用人工神经网络对特征向量进行分类,基于此提出了一种新的识别方法。对本文提出的识别器,在使用前增加新的调制模式的样本并重新训练神经网络,使用过程中能实现更多调制模式的识别而不增加运算量。对特征向量的提取方法进行了详细描述,并通过计算机仿真实验,得出了低信噪比时的正确识别概率。, authors=陆扬, 王雪松, 赵鹏远, 周华, authorsList=陆扬;王雪松;赵鹏远;周华, authorCompany=中国人民解放军91439部队,辽宁大连 116041, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=WP530lsbA5wCvJx+KM8fCA==, pdfFileSize=1274673, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, keywords=[Keyword(id=1242127990990111281, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=CN, orderNo=1, keyword=水声通信信号识别), Keyword(id=1242127991082385972, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=CN, orderNo=1, keyword=时频分析), Keyword(id=1242127991149494837, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=CN, orderNo=1, keyword=人工神经网络), Keyword(id=1242127991849943608, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=EN, orderNo=1, keyword=underwater acoustic communication signal classification), Keyword(id=1242127991929635385, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=EN, orderNo=1, keyword=time-frequency analysis), Keyword(id=1242127992005132858, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242127988792300386, language=EN, orderNo=1, keyword=artificial neural network)], refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=Journal(id=1125356956822126595, delFlag=0, nameCn=科技导报, nameEn=Science & Technology Review, nameHistory1=null, nameHistory2=null, issn=1000-7857, eissn=, cn=11-1421/N, coden=null, periodic=3, language=CN, oaType=0, ccby=null, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=wfghvu3bhh/dKxuZ+ucVHA==, journalPrice=null, startedYear=null, abbrevIsoEn=Sci Technol Rev, journalRemark=null, publicationField=null, createdTime=null, updatedTime=1784015846012, createdBy=null, updatedBy=13041195026, firstLetterCn=K, firstLetterEn=K, subjectCode=Natural Sciences, subjectName=自然科学, subjectCodeEn=Natural Sciences, subjectNameEn=null, picCn=wfghvu3bhh/dKxuZ+ucVHA==, picEn=yjSfclmpNm7ihn9NbTZ69g==, jcr=null, cjcr=null, exts=[JournalExt(id=1283818766098219763, language=CN, name=科技导报, nameHistory1=null, nameHistory2=null, managedBy=中国科学技术协会, sponsoredBy=中国科学技术协会, publishedBy=科技导报社, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=http://www.kjdb.org/CN/home, createdTime=1784015846037, updatedTime=1784015846037, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://www.kjdb.org/CN/column/column7.shtml, submissionAuthorUrl=https://kjdbauthor.cast.org.cn/webm, submissionEditorUrl=https://kjdbeditor.cast.org.cn/webm/, submissionReviewUrl=https://kjdbauthor.cast.org.cn/webm, submissionCeEditorUrl=https://kjdbeditor.cast.org.cn/webm/, submissionAeEditorUrl=https://kjdbeditor.cast.org.cn/webm/, option={"copyright":""}), JournalExt(id=1283818766144357108, language=EN, name=Science & Technology Review, nameHistory1=null, nameHistory2=null, managedBy=, sponsoredBy=, publishedBy=, editorOffice=, officeProv=null, officeCity=null, officeAddr=, officeZip=, editDirector=, officeDirector=null, officePhone=null, coverPicUrl=null, journalRemark=, submitArticleUrl=null, websiteUrl=http://www.kjdb.org/EN/home, createdTime=1784015846048, updatedTime=1784015846048, createdBy=13041195026, updatedBy=13041195026, submissionGuidelinesUrl=http://www.kjdb.org/EN/column/column7.shtml, submissionAuthorUrl=https://kjdbauthor.manuscriptcloud.com/login, submissionEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, submissionReviewUrl=https://kjdbauthor.manuscriptcloud.com/login, submissionCeEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, submissionAeEditorUrl=https://kjdbeditor.manuscriptcloud.com/login, option={"copyright":""})], databaseList=null, tenantJournalId=1146031591421210625, websiteList=[Website(id=1146104741081231361, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146031591421210625, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/kjdb/CN, language=CN, createTime=1751182263881, createBy=18614031015, updateTime=1751778001962, updateBy=18614031015, name=科技导报, tplId=1146099689490845704, title=科技导报, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1148021146403992296, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=articleTextType, value=kx, createTime=1751639170504, updateTime=1751639170504, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146378826469, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=banner, value=null, createTime=1751639170498, updateTime=1751639170498, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146366243556, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic?fileId=9GHSf7eGlIPH0Tv/OOdstA==, createTime=1751639170495, updateTime=1751639170495, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146395603687, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/CN/file/pic, createTime=1751639170502, updateTime=1751639170502, creator=18614031015, updator=18614031015), WebsiteProps(id=1148021146387215078, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146104741081231361, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_cn_619/, createTime=1751639170500, updateTime=1751639170500, creator=18614031015, updator=18614031015)]), Website(id=1146105254833139715, webName=null, webTitle=null, webDomain=null, webCopyrigh=null, webIpcNo=null, seoTitle=null, seoKeywords=null, seoDescription=null, tenantJournalId=null, journalId=1146031591421210625, journalNameCn=null, journalNameEn=null, grayFlag=null, tenantId=1146029695717560320, platformId=null, journalGroupId=null, journalGroupNameCn=null, journalGroupNameEn=null, type=1, domain=https://castjournals.cast.org.cn/joweb/kjdb/EN, language=EN, createTime=1751182386363, createBy=18614031015, updateTime=1753500121937, updateBy=18614031015, name=科技导报, tplId=1146101810881728533, title=Science & Technology Review, delFlag=0, indexPage=/home, props=[WebsiteProps(id=1155838567709528217, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=articleTextType, value=kx, createTime=1753502988984, updateTime=1753502988984, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567692750998, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=banner, value=null, createTime=1753502988980, updateTime=1753502988980, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567688556693, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=logo, value=https://castjournals.cast.org.cn/joweb/kjdb/EN/file/pic?fileId=9GHSf7eGlIPH0Tv/OOdstA==, createTime=1753502988979, updateTime=1753502988979, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567705333912, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=picServerUrl, value=https://castjournals.cast.org.cn/joweb/kjdb/EN/file/pic, createTime=1753502988983, updateTime=1753502988983, creator=18614031015, updator=18614031015), WebsiteProps(id=1155838567701139607, tenantId=1146029695717560320, journalId=null, journalGroupId=null, siteId=1146105254833139715, code=staticResourcePath, value=https://castjournals.cast.org.cn/joweb/cast_kjdb_en_623/, createTime=1753502988982, updateTime=1753502988982, creator=18614031015, updator=18614031015)])], journalTitle=科技导报, weixinUrl=null, journalUrl=null, iacademicId=null, status=1, seqNo=null, journalTitleEn=Science & Technology Review, journalPhotoCn=wfghvu3bhh/dKxuZ+ucVHA==, journalPhotoEn=yjSfclmpNm7ihn9NbTZ69g==, journalFirstLetter=K, journalRecommend=null, journalNew=null, journalCollection=1, jcrJf=null, cjcrJf=0.91, jcrJfStr=null, cjcrJfStr=null, submissionFirstDecision=null, sciSubjectClassification=null, casSubjectClassification=null, citeScore=null, totalCitationFrequency=null, icpCode=null, psCode=null, advertisingLicenseCode=null, copyrightInformation=null, country=null, option=, provinceCode=null, provinceName=null, collectFlag=false, interPubPlatform=, interPubPlatformUrl=null), detailUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2011.28.004, detailUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2011.28.004, pdfUrlCn=https://castjournals.cast.org.cn/joweb/kjdb/CN/PDF/10.3981/j.issn.1000-7857.2011.28.004, pdfUrlEn=https://castjournals.cast.org.cn/joweb/kjdb/EN/PDF/10.3981/j.issn.1000-7857.2011.28.004, aliStartDate=null, aliEndDate=null, collectionFlag=false, citedCount=null, citedUrl=null, previewStatus=0, delFlag=0, hasFullText=0, orderTime=1318003200000, fullTextJson=null, articleText=null, reference=null)
科技导报
|研究论文
2011
, 29
(28) :
33
-36
基于时频分析和神经网络的水声通信信号识别技术
全屏
陆扬, 王雪松, 赵鹏远, 周华
作者信息
中国人民解放军91439部队,辽宁大连 116041
Identifications of Underwater Acoustic Communication Signals Classification Based on Time-frequency Analysis and Neural Network
LU Yang, WANG Xuesong, ZHAO Pengyuan, ZHOU Hua
Affiliations
No. 91439 Troop of PLA, Dalian 116041, Liaoning Province, China
出版时间: 2011-10-08
doi: 10.3981/j.issn.1000-7857.2011.28.004
文章导航
水声通信信号识别具有重要的现实意义。传统的识别器是每种调制模式分别设计的检测器,因而运算量随调制模式数量的增加而增加。随着通信技术手段日益更新,调制模式不断翻新,传统识别器已经不能满足快速检测和识别信号的要求,设计统一的特征提取方法以减少检测器的数量非常迫切。从侦收信号的时频分布中提取特征向量,利用人工神经网络对特征向量进行分类,基于此提出了一种新的识别方法。对本文提出的识别器,在使用前增加新的调制模式的样本并重新训练神经网络,使用过程中能实现更多调制模式的识别而不增加运算量。对特征向量的提取方法进行了详细描述,并通过计算机仿真实验,得出了低信噪比时的正确识别概率。
The fast detection of communication signals and the exact identification of their modulation types are of importance in practice. Traditional designs use detectors for each modulation type separately thus the computation time would increase as the number of modulation types increases. It is necessary to work out a standard feature vector extraction method to reduce the number of detectors. A novel identification scheme is proposed, with feature vectors being extracted from the time-frequency distribution and identified by an artificial neural network. By adding signal samples of new modulation types and by retraining the neural network, this identification scheme can recognize more modulation types without increase of computation burden. The detail of this feature vector extraction approach is described, the probability of the correct identification of the communication signals in low signal-to-noise conditions is obtained through computer simulations.
underwater acoustic communication signal classification
/
time-frequency analysis
/
artificial neural network
陆扬;王雪松;赵鹏远;周华.
基于时频分析和神经网络的水声通信信号识别技术.
科技导报,
2011
, 29
(28)
: 33
-36
.
DOI: 10.3981/j.issn.1000-7857.2011.28.004
LU Yang;WANG Xuesong;ZHAO Pengyuan;ZHOU Hua.
Identifications of Underwater Acoustic Communication Signals Classification Based on Time-frequency Analysis and Neural Network[J].
Science & Technology Review ,
2011
, 29
(28)
: 33
-36
.
DOI: 10.3981/j.issn.1000-7857.2011.28.004
2011年第29卷第28期
PDF下载
210
30
引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2011.28.004
接收时间：2011-09-06
首发时间：2011-10-08
出版时间：2011-10-08
收稿日期：2011-09-06
修回日期：2011-09-17
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2011.28.004
引用本文
BibTeX
2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
关闭全屏
BibTeX
EndNote
RefWorks
TxT
PDF下载
全屏
210
30
关闭全屏
北京市海淀区学院南路86号
010-62199257（仅加盟咨询）
qkjq@cast.org.cn
