Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.

In this paper MLSE (maximum likelihood sequence estimation) is applied to unknown ISI (inter-symbol intelference) fast time-varying channels. Assuming a probabilistic model for an FIR channel, a Maximum A-Posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A time-recursive (i.e. on-line) sequence estimation algorithm is then identifed.

Main Author: Chen, Hai.
Other Authors: Buckley, Kevin., Perry, Richard.
Format: Villanova Faculty Authorship
Language: English
Published: 2000
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178471
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dc_source_str_mv October 2000 Asilomar Conference on Signals, Systems, and Computers 2, August 6, 2002, 1005-1009.
author Chen, Hai.
author_facet_str_mv Chen, Hai.
Buckley, Kevin.
Perry, Richard.
author_or_contributor_facet_str_mv Chen, Hai.
Buckley, Kevin.
Perry, Richard.
author_s Chen, Hai.
spellingShingle Chen, Hai.
Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
author-letter Chen, Hai.
author_sort_str Chen, Hai.
author2 Buckley, Kevin.
Perry, Richard.
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Perry, Richard.
dc_title_str Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
title Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
title_short Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
title_full Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
title_fullStr Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
title_full_unstemmed Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
collection_title_sort_str time-recursive maximum likelihood based sequence estimation for unknown isi channels.
title_sort time-recursive maximum likelihood based sequence estimation for unknown isi channels.
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description In this paper MLSE (maximum likelihood sequence estimation) is applied to unknown ISI (inter-symbol intelference) fast time-varying channels. Assuming a probabilistic model for an FIR channel, a Maximum A-Posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A time-recursive (i.e. on-line) sequence estimation algorithm is then identifed.
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dc.title Time-recursive maximum likelihood based sequence estimation for unknown ISI channels.
dc.creator Chen, Hai.
Buckley, Kevin.
Perry, Richard.
dc.description In this paper MLSE (maximum likelihood sequence estimation) is applied to unknown ISI (inter-symbol intelference) fast time-varying channels. Assuming a probabilistic model for an FIR channel, a Maximum A-Posterior (MAP) or ML cost function for the communication symbols is obtained by integration over the channel FIR parameters. A time-recursive (i.e. on-line) sequence estimation algorithm is then identifed.
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