File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Robust M-estimate adaptive equalizer for impulse noise suppression
Title | Robust M-estimate adaptive equalizer for impulse noise suppression |
---|---|
Authors | |
Issue Date | 1999 |
Citation | Ieee Vts 50Th Vehicular Technology Conference, Vtc 1999-Fall, 1999, v. 3, p. 2393-2397 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/155099 |
ISSN | 2023 SCImago Journal Rankings: 0.469 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zou, Yuexian | en_US |
dc.contributor.author | Chan, ShingChow | en_US |
dc.contributor.author | Ng, TungSung | en_US |
dc.date.accessioned | 2012-08-08T08:31:51Z | - |
dc.date.available | 2012-08-08T08:31:51Z | - |
dc.date.issued | 1999 | en_US |
dc.identifier.citation | Ieee Vts 50Th Vehicular Technology Conference, Vtc 1999-Fall, 1999, v. 3, p. 2393-2397 | en_US |
dc.identifier.issn | 0740-0551 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/155099 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.relation.ispartof | IEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall | en_US |
dc.title | Robust M-estimate adaptive equalizer for impulse noise suppression | en_US |
dc.type | Article | en_US |
dc.identifier.email | Chan, ShingChow:scchan@eee.hku.hk | en_US |
dc.identifier.email | Ng, TungSung:tsng@eee.hku.hk | en_US |
dc.identifier.authority | Chan, ShingChow=rp00094 | en_US |
dc.identifier.authority | Ng, TungSung=rp00159 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0032652194 | en_US |
dc.identifier.volume | 3 | en_US |
dc.identifier.spage | 2393 | en_US |
dc.identifier.epage | 2397 | en_US |
dc.identifier.scopusauthorid | Zou, Yuexian=7402166847 | en_US |
dc.identifier.scopusauthorid | Chan, ShingChow=13310287100 | en_US |
dc.identifier.scopusauthorid | Ng, TungSung=7402229975 | en_US |
dc.identifier.issnl | 0740-0551 | - |