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Conference Paper: Robust subspace tracking in impulsive noise

TitleRobust subspace tracking in impulsive noise
Authors
Issue Date2001
Citation
Ieee International Conference On Communications, 2001, v. 3, p. 892-896 How to Cite?
AbstractSubspace tracking is an efficient method to reduce the complexity of signal subspace estimation. Recursive least square-based (RLS) subspace tracking algorithm such as the PAST algorithm is attractive because they estimate the signal subspace adaptively and continuously and the computational complexity is relatively low. Unfortunately, the RLS algorithm is well known to be very sensitive to impulse noise and it's performance can degraded substantially. In this paper, a robust PAST algorithm, based on the concept of robust statistics, is proposed. The robustness is achieved by making the underlying RLS iteration more robust to impulse interference. This new method is also applicable to other RLS-based algorithms. In particular, a robust statistic based impulsive noise detector is incorporated into the subspace tracking algorithm. The impulses in the input data vector are detected, and they are prevented from corrupting the estimated subspace for further tracking. We also propose a new restoring mechanism to handle long burst of consecutive impulses, which is a very difficult problem to handle in practice. Simulation results show the proposed algorithm offers satisfactory robustness against individual and consecutive impulses, while the PAST algorithm degrades dramatically in similar impulse noise environment. For nominal Gaussian noise, the proposed robust subspace tracking algorithm offers similar performance as the PAST algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/158313
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorWen, Yen_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorHo, KLen_US
dc.date.accessioned2012-08-08T08:59:01Z-
dc.date.available2012-08-08T08:59:01Z-
dc.date.issued2001en_US
dc.identifier.citationIeee International Conference On Communications, 2001, v. 3, p. 892-896en_US
dc.identifier.issn0536-1486en_US
dc.identifier.urihttp://hdl.handle.net/10722/158313-
dc.description.abstractSubspace tracking is an efficient method to reduce the complexity of signal subspace estimation. Recursive least square-based (RLS) subspace tracking algorithm such as the PAST algorithm is attractive because they estimate the signal subspace adaptively and continuously and the computational complexity is relatively low. Unfortunately, the RLS algorithm is well known to be very sensitive to impulse noise and it's performance can degraded substantially. In this paper, a robust PAST algorithm, based on the concept of robust statistics, is proposed. The robustness is achieved by making the underlying RLS iteration more robust to impulse interference. This new method is also applicable to other RLS-based algorithms. In particular, a robust statistic based impulsive noise detector is incorporated into the subspace tracking algorithm. The impulses in the input data vector are detected, and they are prevented from corrupting the estimated subspace for further tracking. We also propose a new restoring mechanism to handle long burst of consecutive impulses, which is a very difficult problem to handle in practice. Simulation results show the proposed algorithm offers satisfactory robustness against individual and consecutive impulses, while the PAST algorithm degrades dramatically in similar impulse noise environment. For nominal Gaussian noise, the proposed robust subspace tracking algorithm offers similar performance as the PAST algorithm.en_US
dc.languageengen_US
dc.relation.ispartofIEEE International Conference on Communicationsen_US
dc.titleRobust subspace tracking in impulsive noiseen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.emailHo, KL:klho@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityHo, KL=rp00117en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0034871374en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034871374&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume3en_US
dc.identifier.spage892en_US
dc.identifier.epage896en_US
dc.identifier.scopusauthoridWen, Y=55239414600en_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US
dc.identifier.scopusauthoridHo, KL=7403581592en_US

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