MAP sequence estimation for fading ISI channels.

In this paper we first describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a first...

Full description

Bibliographic Details
Main Authors: Chen, H., Perry, R., Buckley, K.
Format: Villanova Faculty Authorship
Language:English
Published: 2001
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178435
id vudl:178435
record_format vudl
institution Villanova University
collection Digital Library
modeltype_str_mv vudl-system:ResourceCollection
vudl-system:CollectionModel
vudl-system:CoreModel
datastream_str_mv STRUCTMAP
PARENT-LIST
DC
RELS-EXT
LEGACY-METS
THUMBNAIL
AGENTS
AUDIT
MEMBER-LIST-RAW
MEMBER-QUERY
PROCESS-MD
PARENT-QUERY
LICENSE
PARENT-LIST-RAW
hierarchytype
hierarchy_all_parents_str_mv vudl:178401
vudl:172968
vudl:641262
vudl:3
vudl:1
sequence_vudl_178401_str 0000000012
hierarchy_top_id vudl:641262
hierarchy_top_title Villanova Faculty Publications
fedora_parent_id_str_mv vudl:178401
hierarchy_first_parent_id_str vudl:178435
hierarchy_parent_id vudl:178401
hierarchy_parent_title Perry Richard
hierarchy_sequence_sort_str 0000000012
hierarchy_sequence 0000000012
spelling MAP sequence estimation for fading ISI channels.
Chen, H.
Perry, R.
Buckley, K.
In this paper we first describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a first order Gauss-Markov channel model to derive a specific MAP estimator, and we describe a Per Survivor Processing (PSP) algorithm as a realistic approximation of the optimum estimator. Monte Carlo simulations results are then presented: first to illustrate the performance realized when incorporating prior channel knowledge and its dependence on channel fading rate; and second to study the sensitivity of this MAP estimator to inaccuracies in the assumed values of parameters of the Gauss-Markov model.
2001
Villanova Faculty Authorship
vudl:178435
March 2001 Conference on Information Sciences and Systems, March 2001, 1-5.
en
dc.title_txt_mv MAP sequence estimation for fading ISI channels.
dc.creator_txt_mv Chen, H.
Perry, R.
Buckley, K.
dc.description_txt_mv In this paper we first describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a first order Gauss-Markov channel model to derive a specific MAP estimator, and we describe a Per Survivor Processing (PSP) algorithm as a realistic approximation of the optimum estimator. Monte Carlo simulations results are then presented: first to illustrate the performance realized when incorporating prior channel knowledge and its dependence on channel fading rate; and second to study the sensitivity of this MAP estimator to inaccuracies in the assumed values of parameters of the Gauss-Markov model.
dc.date_txt_mv 2001
dc.format_txt_mv Villanova Faculty Authorship
dc.identifier_txt_mv vudl:178435
dc.source_txt_mv March 2001 Conference on Information Sciences and Systems, March 2001, 1-5.
dc.language_txt_mv en
author Chen, H.
Perry, R.
Buckley, K.
spellingShingle Chen, H.
Perry, R.
Buckley, K.
MAP sequence estimation for fading ISI channels.
author_facet Chen, H.
Perry, R.
Buckley, K.
dc_source_str_mv March 2001 Conference on Information Sciences and Systems, March 2001, 1-5.
format Villanova Faculty Authorship
author_sort Chen, H.
dc_date_str 2001
dc_title_str MAP sequence estimation for fading ISI channels.
description In this paper we first describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a first order Gauss-Markov channel model to derive a specific MAP estimator, and we describe a Per Survivor Processing (PSP) algorithm as a realistic approximation of the optimum estimator. Monte Carlo simulations results are then presented: first to illustrate the performance realized when incorporating prior channel knowledge and its dependence on channel fading rate; and second to study the sensitivity of this MAP estimator to inaccuracies in the assumed values of parameters of the Gauss-Markov model.
title MAP sequence estimation for fading ISI channels.
title_full MAP sequence estimation for fading ISI channels.
title_fullStr MAP sequence estimation for fading ISI channels.
title_full_unstemmed MAP sequence estimation for fading ISI channels.
title_short MAP sequence estimation for fading ISI channels.
title_sort map sequence estimation for fading isi channels.
publishDate 2001
normalized_sort_date 2001-01-01T00:00:00Z
language English
collection_title_sort_str map sequence estimation for fading isi channels.
relsext.sortOn_txt_mv title
fgs.createdBy_txt_mv fedoraAdmin
fgs.type_txt_mv http://fedora.info/definitions/v4/repository#Resource
http://www.w3.org/ns/ldp#Resource
http://www.w3.org/ns/ldp#RDFSource
http://www.w3.org/ns/ldp#BasicContainer
http://www.w3.org/ns/ldp#Container
http://fedora.info/definitions/v4/repository#Container
relsext.hasModel_txt_mv http://hades.library.villanova.edu:8080/rest/vudl-system:ResourceCollection
http://hades.library.villanova.edu:8080/rest/vudl-system:CollectionModel
http://hades.library.villanova.edu:8080/rest/vudl-system:CoreModel
relsext.isMemberOf_txt_mv http://hades.library.villanova.edu:8080/rest/vudl:178401
fgs.lastModifiedBy_txt_mv fedoraAdmin
relsext.hasLegacyURL_txt_mv http://digital.library.villanova.edu/Villanova%20Digital%20Collection/Faculty%20Fulltext/Perry%20Richard/PerryRichard-ca56584a-9d77-4c8a-a3b0-a93a97de828c.xml
fgs.label_txt_mv MAP sequence estimation for fading ISI channels.
fgs.state_txt_mv Active
relsext.itemID_txt_mv oai:digital.library.villanova.edu:vudl:178435
fgs.createdDate_txt_mv 2013-01-22T07:21:07.407Z
fgs.ownerId_txt_mv diglibEditor
relsext.sequence_txt_mv vudl:178401#12
fgs.lastModifiedDate_txt_mv 2021-04-12T19:19:36.109Z
has_order_str no
agent.name_txt_mv Falvey Memorial Library, Villanova University
klk
license.mdRef_str http://digital.library.villanova.edu/copyright.html
license_str protected
has_thumbnail_str true
THUMBNAIL_contentDigest_digest_str 203c69e18f4f46c81e9892448d2c07cd
first_indexed 2014-01-11T23:04:50Z
last_indexed 2021-04-12T20:12:32Z
_version_ 1785892982827778048
subpages