Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels

Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels

One of the most important problems of reliable communications in shallow water channels is intersymbol interference (ISI) which is due to scattering from surface and reflecting from bottom. Using adaptive equalizers in receiver is one of the best suggested ways for overcoming this problem. In this p...

Full description

Bibliographic Details
Main Authors: Masoumeh Soflaei, Paeiz Azmi
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2014/676497
id doaj-802df0b5fe094113b442bab70b3fc9c4
record_format Article
spelling doaj-802df0b5fe094113b442bab70b3fc9c42020-11-24T23:14:23ZengHindawi LimitedShock and Vibration1070-96221875-92032014-01-01201410.1155/2014/676497676497Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic ChannelsMasoumeh Soflaei0Paeiz Azmi1Faculty of Electrical and Computer Engineering, Tarbiat Modares University, P.O. Box 14115-194, Tehran, IranFaculty of Electrical and Computer Engineering, Tarbiat Modares University, P.O. Box 14115-194, Tehran, IranOne of the most important problems of reliable communications in shallow water channels is intersymbol interference (ISI) which is due to scattering from surface and reflecting from bottom. Using adaptive equalizers in receiver is one of the best suggested ways for overcoming this problem. In this paper, we apply the family of selective regressor affine projection algorithms (SR-APA) and the family of selective partial update APA (SPU-APA) which have low computational complexity that is one of the important factors that influences adaptive equalizer performance. We apply experimental data from Strait of Hormuz for examining the efficiency of the proposed methods over shallow water channel. We observe that the values of the steady-state mean square error (MSE) of SR-APA and SPU-APA decrease by 5.8 (dB) and 5.5 (dB), respectively, in comparison with least mean square (LMS) algorithm. Also the families of SPU-APA and SR-APA have better convergence speed than LMS type algorithm.http://dx.doi.org/10.1155/2014/676497
collection DOAJ
language English
format Article
sources DOAJ
author Masoumeh Soflaei
Paeiz Azmi
spellingShingle Masoumeh Soflaei
Paeiz Azmi
Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
Shock and Vibration
author_facet Masoumeh Soflaei
Paeiz Azmi
author_sort Masoumeh Soflaei
title Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
title_short Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
title_full Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
title_fullStr Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
title_full_unstemmed Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels
title_sort adaptive equalizer using selective partial update algorithm and selective regressor affine projection algorithm over shallow water acoustic channels
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2014-01-01
description One of the most important problems of reliable communications in shallow water channels is intersymbol interference (ISI) which is due to scattering from surface and reflecting from bottom. Using adaptive equalizers in receiver is one of the best suggested ways for overcoming this problem. In this paper, we apply the family of selective regressor affine projection algorithms (SR-APA) and the family of selective partial update APA (SPU-APA) which have low computational complexity that is one of the important factors that influences adaptive equalizer performance. We apply experimental data from Strait of Hormuz for examining the efficiency of the proposed methods over shallow water channel. We observe that the values of the steady-state mean square error (MSE) of SR-APA and SPU-APA decrease by 5.8 (dB) and 5.5 (dB), respectively, in comparison with least mean square (LMS) algorithm. Also the families of SPU-APA and SR-APA have better convergence speed than LMS type algorithm.
url http://dx.doi.org/10.1155/2014/676497
work_keys_str_mv AT masoumehsoflaei adaptiveequalizerusingselectivepartialupdatealgorithmandselectiveregressoraffineprojectionalgorithmovershallowwateracousticchannels
AT paeizazmi adaptiveequalizerusingselectivepartialupdatealgorithmandselectiveregressoraffineprojectionalgorithmovershallowwateracousticchannels
_version_ 1725594706119753728

Similar Items