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Conference Paper: Super-resolution time delay estimation in multipath environments

TitleSuper-resolution time delay estimation in multipath environments
Authors
KeywordsEigenanalysis
Muitipath environments
Sequential Quadratic Programming
Time delay estimation
Issue Date2004
PublisherIEEE, Communications Society.
Citation
2004 Ieee Wireless Communications And Networking Conference, Wcnc 2004, 2004, v. 2, p. 1121-1126 How to Cite?
AbstractThe problem of super-resolution time delay estimation in multipath environments is addressed in this paper. Two cases, active and passive systems, are considered. The time delay estimation is first converted into a sinusoidal parameter estimation problem. Then the sinusoidal parameters are estimated by generalizing the Multiple Signal Classification (MUSIC) algorithm for single-experiment data. The proposed method, referred to as the MUSIC-type algorithm, approximates the Cramer-Rao bound (CRB) in terms of the mean square errors (MSEs) for different signal-to-noise ratios (SNRs) and separations of muitipath components. Simulation results show that the MUSIC-type algorithm performs better than the classical correlation approach and the conventional MUSIC method for the closely spaced components in muitipath environments.
Persistent Identifierhttp://hdl.handle.net/10722/46483
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorGe, FXen_HK
dc.contributor.authorShen, Den_HK
dc.contributor.authorPeng, Yen_HK
dc.contributor.authorLi, VOKen_HK
dc.date.accessioned2007-10-30T06:50:53Z-
dc.date.available2007-10-30T06:50:53Z-
dc.date.issued2004en_HK
dc.identifier.citation2004 Ieee Wireless Communications And Networking Conference, Wcnc 2004, 2004, v. 2, p. 1121-1126en_HK
dc.identifier.issn1525-3511en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46483-
dc.description.abstractThe problem of super-resolution time delay estimation in multipath environments is addressed in this paper. Two cases, active and passive systems, are considered. The time delay estimation is first converted into a sinusoidal parameter estimation problem. Then the sinusoidal parameters are estimated by generalizing the Multiple Signal Classification (MUSIC) algorithm for single-experiment data. The proposed method, referred to as the MUSIC-type algorithm, approximates the Cramer-Rao bound (CRB) in terms of the mean square errors (MSEs) for different signal-to-noise ratios (SNRs) and separations of muitipath components. Simulation results show that the MUSIC-type algorithm performs better than the classical correlation approach and the conventional MUSIC method for the closely spaced components in muitipath environments.en_HK
dc.format.extent371306 bytes-
dc.format.extent4152649 bytes-
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dc.languageengen_HK
dc.publisherIEEE, Communications Society.en_HK
dc.relation.ispartof2004 IEEE Wireless Communications and Networking Conference, WCNC 2004en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectEigenanalysisen_HK
dc.subjectMuitipath environmentsen_HK
dc.subjectSequential Quadratic Programmingen_HK
dc.subjectTime delay estimationen_HK
dc.titleSuper-resolution time delay estimation in multipath environmentsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1525-3511&volume=2&spage=1121&epage=1126&date=2004&atitle=Super-resolution+time+delay+estimation+in+multipath+environmentsen_HK
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-4544334662en_HK
dc.identifier.hkuros92228-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4544334662&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage1121en_HK
dc.identifier.epage1126en_HK
dc.identifier.scopusauthoridGe, FX=7005868046en_HK
dc.identifier.scopusauthoridShen, D=7401738166en_HK
dc.identifier.scopusauthoridPeng, Y=7403419366en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK

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