A hybrid adaptive technique for dynamic channel equalizations.

An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.

Main Author: Amin, Moeness G.
Other Authors: He, Lin.
Language: English
Published: 2002
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173051
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dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, May 2002.
author Amin, Moeness G.
author_facet_str_mv Amin, Moeness G.
He, Lin.
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He, Lin.
author_s Amin, Moeness G.
spellingShingle Amin, Moeness G.
A hybrid adaptive technique for dynamic channel equalizations.
author-letter Amin, Moeness G.
author_sort_str Amin, Moeness G.
author2 He, Lin.
author2Str He, Lin.
dc_title_str A hybrid adaptive technique for dynamic channel equalizations.
title A hybrid adaptive technique for dynamic channel equalizations.
title_short A hybrid adaptive technique for dynamic channel equalizations.
title_full A hybrid adaptive technique for dynamic channel equalizations.
title_fullStr A hybrid adaptive technique for dynamic channel equalizations.
title_full_unstemmed A hybrid adaptive technique for dynamic channel equalizations.
collection_title_sort_str hybrid adaptive technique for dynamic channel equalizations.
title_sort hybrid adaptive technique for dynamic channel equalizations.
description An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.
publishDate 2002
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dc.title A hybrid adaptive technique for dynamic channel equalizations.
dc.creator Amin, Moeness G.
He, Lin.
dc.description An adaptive gradient technique is applied for the minimization of a hybrid cost function that consists of amplitude-dependent and constellation-dependent terms. A time-varying weighting coefficient is induced in the combined cost function to emphasizelde-emphasize the role of the two terms in determining the gradient during initializations, convergence, and steady state conditions. This coefficient is recursively updated and leads to improved global and local convergence properties. It is shown that the proposed technique is superior to the method in which the cost function involves fixed weighting.
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dc.source Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, FL, May 2002.
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