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Article: Robust M-estimate adaptive equalizer for impulse noise suppression

TitleRobust M-estimate adaptive equalizer for impulse noise suppression
Authors
Issue Date1999
Citation
Ieee Vts 50Th Vehicular Technology Conference, Vtc 1999-Fall, 1999, v. 3, p. 2393-2397 How to Cite?
AbstractIn this paper, a FIR adaptive equalizer for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight large error signal when it exceeds certain thresholds. An advantage of the proposed method is that its solution is governed by a system of linear equation, called the M-estimate normal equation. Therefore, traditional fast algorithms like the recursive least squares algorithm can be applied. Using a robust estimation of the thresholds and the recursive least square algorithm, an M-estimate RLS (M-RLS) algorithm is developed. Simulation results show that the proposed algorithm has better convergence performance than the N-RLS and MN-LMS algorithms when the input signal of the equalizer is corrupted by individually or consecutive impulse noises. It also shares the low steady state error of the traditional RLS algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/155099
ISSN

 

DC FieldValueLanguage
dc.contributor.authorZou, Yuexianen_US
dc.contributor.authorChan, ShingChowen_US
dc.contributor.authorNg, TungSungen_US
dc.date.accessioned2012-08-08T08:31:51Z-
dc.date.available2012-08-08T08:31:51Z-
dc.date.issued1999en_US
dc.identifier.citationIeee Vts 50Th Vehicular Technology Conference, Vtc 1999-Fall, 1999, v. 3, p. 2393-2397en_US
dc.identifier.issn0740-0551en_US
dc.identifier.urihttp://hdl.handle.net/10722/155099-
dc.description.abstractIn this paper, a FIR adaptive equalizer for impulse noise suppression is proposed. It is based on the minimization of an M-estimate objective function which has the ability to ignore or down-weight large error signal when it exceeds certain thresholds. An advantage of the proposed method is that its solution is governed by a system of linear equation, called the M-estimate normal equation. Therefore, traditional fast algorithms like the recursive least squares algorithm can be applied. Using a robust estimation of the thresholds and the recursive least square algorithm, an M-estimate RLS (M-RLS) algorithm is developed. Simulation results show that the proposed algorithm has better convergence performance than the N-RLS and MN-LMS algorithms when the input signal of the equalizer is corrupted by individually or consecutive impulse noises. It also shares the low steady state error of the traditional RLS algorithm.en_US
dc.languageengen_US
dc.relation.ispartofIEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fallen_US
dc.titleRobust M-estimate adaptive equalizer for impulse noise suppressionen_US
dc.typeArticleen_US
dc.identifier.emailChan, ShingChow:scchan@eee.hku.hken_US
dc.identifier.emailNg, TungSung:tsng@eee.hku.hken_US
dc.identifier.authorityChan, ShingChow=rp00094en_US
dc.identifier.authorityNg, TungSung=rp00159en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032652194en_US
dc.identifier.volume3en_US
dc.identifier.spage2393en_US
dc.identifier.epage2397en_US
dc.identifier.scopusauthoridZou, Yuexian=7402166847en_US
dc.identifier.scopusauthoridChan, ShingChow=13310287100en_US
dc.identifier.scopusauthoridNg, TungSung=7402229975en_US

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