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Conference Paper: A new algorithm of tracking time-varying channels in impulsive noise environment using a robust Kalman filter

TitleA new algorithm of tracking time-varying channels in impulsive noise environment using a robust Kalman filter
Authors
Issue Date2005
PublisherIEEE.
Citation
Proceedings Of 2005 International Symposium On Intelligent Signal Processing And Communication Systems, Ispacs 2005, 2005, v. 2005, p. 233-235 How to Cite?
AbstractThis paper proposes a new algorithm for tracking time-varying channels in impulsive noise environment using a robust Kalman filter. It employs a simple dynamical model of the channel, where the changes in the impulse response coefficients are due entirely to the innovations of the Kalman filter. This reduces the arithmetic complexity, while offering reasonable good performance. The robust Kalman filter is used to restrain the adverse effect of impulsive noise and provide estimates of the covariance matrices of the state and measurement noises. The noisy channel estimates from the Kalman filter can be used to estimate the parameters of the channel coefficients when they are assumed to follow an AR model. Finally, the two processes can be coupled together to further improve the performance. Simulation results show that the new algorithm gives more stable performance than the conventional methods under impulsive noise environment. © 2005 IEEE.
Description2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005), Hong Kong, 13-16 December 2005
Persistent Identifierhttp://hdl.handle.net/10722/54060
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorTse, KWen_HK
dc.date.accessioned2009-04-03T07:35:42Z-
dc.date.available2009-04-03T07:35:42Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings Of 2005 International Symposium On Intelligent Signal Processing And Communication Systems, Ispacs 2005, 2005, v. 2005, p. 233-235en_HK
dc.identifier.urihttp://hdl.handle.net/10722/54060-
dc.description2005 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2005), Hong Kong, 13-16 December 2005-
dc.description.abstractThis paper proposes a new algorithm for tracking time-varying channels in impulsive noise environment using a robust Kalman filter. It employs a simple dynamical model of the channel, where the changes in the impulse response coefficients are due entirely to the innovations of the Kalman filter. This reduces the arithmetic complexity, while offering reasonable good performance. The robust Kalman filter is used to restrain the adverse effect of impulsive noise and provide estimates of the covariance matrices of the state and measurement noises. The noisy channel estimates from the Kalman filter can be used to estimate the parameters of the channel coefficients when they are assumed to follow an AR model. Finally, the two processes can be coupled together to further improve the performance. Simulation results show that the new algorithm gives more stable performance than the conventional methods under impulsive noise environment. © 2005 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleA new algorithm of tracking time-varying channels in impulsive noise environment using a robust Kalman filteren_HK
dc.typeConference_Paperen_HK
dc.identifier.emailZhang, ZG: zhangzg@hku.hken_HK
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_HK
dc.identifier.emailTse, KW: kwtse@eee.hku.hken_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityTse, KW=rp00180en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-33847200824en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847200824&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage233en_HK
dc.identifier.epage235en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK

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