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Article: Super-resolution time delay estimation in multipath environments

TitleSuper-resolution time delay estimation in multipath environments
Authors
KeywordsEigenanalysis
Music Algorithm
Sequential Quadratic Programming
Super-Resolution Time Delay Estimation
Issue Date2007
Citation
Ieee Transactions On Circuits And Systems I: Regular Papers, 2007, v. 54 n. 9, p. 1977-1986 How to Cite?
AbstractThe super-resolution time delay estimation in multipath environment is very important for many applications. Conventional super-resolution approaches can only deal with signals with wideband and flat spectra. In this paper, we propose a novel super-resolution time delay estimation method that can treat signals with narrowband spectra. In our method, the time delay estimation is first transformed into the frequency domain, in which the problem is converted into the parameter estimation of sinusoidal signals with lowpass envelopes. Then a MUSIC-type algorithm taking account of the envelope variation is applied to achieve the super-resolution estimation. Time delay estimation in active and passive systems are considered. Simulation results confirm that the proposed estimators provide better performance than the classical correlation approach and the conventional MUSIC algorithm for separating closely spaced signals with narrowband spectra. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155390
ISSN
2006 Impact Factor: 1.139
2006 SCImago Journal Rankings: 1.111
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGe, FXen_US
dc.contributor.authorShen, Den_US
dc.contributor.authorPeng, Yen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2012-08-08T08:33:15Z-
dc.date.available2012-08-08T08:33:15Z-
dc.date.issued2007en_US
dc.identifier.citationIeee Transactions On Circuits And Systems I: Regular Papers, 2007, v. 54 n. 9, p. 1977-1986en_US
dc.identifier.issn1057-7122en_US
dc.identifier.urihttp://hdl.handle.net/10722/155390-
dc.description.abstractThe super-resolution time delay estimation in multipath environment is very important for many applications. Conventional super-resolution approaches can only deal with signals with wideband and flat spectra. In this paper, we propose a novel super-resolution time delay estimation method that can treat signals with narrowband spectra. In our method, the time delay estimation is first transformed into the frequency domain, in which the problem is converted into the parameter estimation of sinusoidal signals with lowpass envelopes. Then a MUSIC-type algorithm taking account of the envelope variation is applied to achieve the super-resolution estimation. Time delay estimation in active and passive systems are considered. Simulation results confirm that the proposed estimators provide better performance than the classical correlation approach and the conventional MUSIC algorithm for separating closely spaced signals with narrowband spectra. © 2007 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Circuits and Systems I: Regular Papersen_US
dc.subjectEigenanalysisen_US
dc.subjectMusic Algorithmen_US
dc.subjectSequential Quadratic Programmingen_US
dc.subjectSuper-Resolution Time Delay Estimationen_US
dc.titleSuper-resolution time delay estimation in multipath environmentsen_US
dc.typeArticleen_US
dc.identifier.emailLi, VOK:vli@eee.hku.hken_US
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TCSI.2007.904693en_US
dc.identifier.scopuseid_2-s2.0-34648828835en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34648828835&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume54en_US
dc.identifier.issue9en_US
dc.identifier.spage1977en_US
dc.identifier.epage1986en_US
dc.identifier.isiWOS:000249730800011-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridGe, FX=7005868046en_US
dc.identifier.scopusauthoridShen, D=7401738166en_US
dc.identifier.scopusauthoridPeng, Y=7403419366en_US
dc.identifier.scopusauthoridLi, VOK=7202621685en_US

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