[Zhang2011Final]

[Zhang2011Final]

ID:37582968

大小:1.02 MB

页数:12页

时间:2019-05-25

[Zhang2011Final]_第1页
[Zhang2011Final]_第2页
[Zhang2011Final]_第3页
[Zhang2011Final]_第4页
[Zhang2011Final]_第5页
资源描述:

《[Zhang2011Final]》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库

1、Thisarticlehasbeenacceptedforinclusioninafutureissueofthisjournal.Contentisfinalaspresented,withtheexceptionofpagination.IEEETRANSACTIONSONCOMMUNICATIONS,ACCEPTEDFORPUBLICATION1SpectrumSensingAlgorithmsviaFiniteRandomMatricesWenshengZhang,StudentMember,IEEE,GiuseppeAbreu,Se

2、niorMember,IEEE,MamikoInamori,Member,IEEE,andYukitoshiSanada,Member,IEEEAbstract—WeaddressthePrimaryUser(PU)detection(spec-fundamentaltoenableefficientautonomous(cognitive)utiliza-trumsensing)problem,relevanttocognitiveradio,fromafinitetionofspectrumbymultipleradios.Thisprobl

3、em,referredrandommatrixtheoretical(RMT)perspective.Specifically,wetoasspectrumsensingisthereforeofmajorimportanceinemployrecently-derivedclosed-formandexactexpressionsforthefieldofwirelesscommunicationsandatthecoreofthethedistributionofthestandardconditionnumber(SCN)ofuncorre

4、latedandsemi-correlatedrandomdualcentralWishartcognitiveradioparadigm[1]–[3].matricesoffinitesizesinthedesignHypothesis-Testingalgo-IthasbeenrecentlyshownthatspectrumsensingalgorithmsrithmstodetectthepresenceofPUsignals.Inparticular,twoofsuperiorperformanceandrobustnesscanbe

5、designedusingalgorithmsaredesigned,withbasisontheSCNdistributioninthetheeigenvaluesofWishartrandommatricesconstructedfromabsence(ℋ0)andinthepresence(ℋ1)ofPUsignals,respectively.DuetoaninherentpropertyoftheSCN’s,theℋ0testrequireschannelsamples[4]–[7].noestimationofSNRoranyot

6、herinformationonthePUIn[4],forinstance,spectrumsensingmethodswerepro-signal,whiletheℋ1testrequiresSNRonly.Furtherattractiveposedwhichrelyonthepropertythattheeingenvaluesofadvantagesofthenewtechniquesare:?)duetotheaccuracyof?×?Wishartrandommatrices,with(?,?)→∞andathefiniteSCN

7、distributions,superiorperformanceisachievedunderafinitenumberofsamples,comparedtoasymptoticconstantaspectratio?≜?/?,followtheMarchenko-PasturRMT-basedalternatives;?)sinceexpressionstomodeltheSCN(MP)law[8].TheMPlawestablishesthatthelargest(??)andstatisticsbothintheabsenceandp

8、resenceofPUsignalaresmallest(?1)eigenvaluesoflargematricesconverge–underused,thest

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。
相关文章
更多
相关标签