A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector

A linear group-wise successive interference canceller in a synchronous code-division multiple-access system (CDMA) is considered in this paper. The proposed hybrid detector that combines successive and parallel cancellation techniques makes use of advantages offered by the two techniques. The conver...

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Main Author: Bentrcia, A. (author)
Other Authors: Sheikh, A.U. (author), Zerguine, A. (author), unknown (author)
Format: article
Published: 2006
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/14041/1/14041_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14041/2/14041_2.doc
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author Bentrcia, A.
author2 Sheikh, A.U.
Zerguine, A.
unknown
author2_role author
author
author
author_facet Bentrcia, A.
Sheikh, A.U.
Zerguine, A.
unknown
author_role author
dc.creator.none.fl_str_mv Bentrcia, A.
Sheikh, A.U.
Zerguine, A.
unknown
dc.date.none.fl_str_mv 2006-03
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14041/1/14041_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14041/2/14041_2.doc
(2006) A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector. Vehicular Technology, IEEE Transactions on, 55.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14041/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description A linear group-wise successive interference canceller in a synchronous code-division multiple-access system (CDMA) is considered in this paper. The proposed hybrid detector that combines successive and parallel cancellation techniques makes use of advantages offered by the two techniques. The convergence of the hybrid interference cancellation (HIC) detector is guaranteed by an adjustable parameter that depends upon the largest eigenvalue of the system's transition matrix. Since the largest eigenvalue is difficult to estimate, an upper bound is necessary for successful convergence. For this reason, a new upper bound for the maximum eigenvalue of the system's transition matrix was developed. Moreover, a new ordering and grouping algorithm that results in a higher convergence speed is proposed. Simulation results show that a significant improvement in performance is obtained using this technique.
eu_rights_str_mv openAccess
format article
id KFUPM_a3f5312ff3a24c9d765a036920b124a7
identifier_str_mv (2006) A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector. Vehicular Technology, IEEE Transactions on, 55.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14041
publishDate 2006
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detectorBentrcia, A.Sheikh, A.U.Zerguine, A.unknownComputerA linear group-wise successive interference canceller in a synchronous code-division multiple-access system (CDMA) is considered in this paper. The proposed hybrid detector that combines successive and parallel cancellation techniques makes use of advantages offered by the two techniques. The convergence of the hybrid interference cancellation (HIC) detector is guaranteed by an adjustable parameter that depends upon the largest eigenvalue of the system's transition matrix. Since the largest eigenvalue is difficult to estimate, an upper bound is necessary for successful convergence. For this reason, a new upper bound for the maximum eigenvalue of the system's transition matrix was developed. Moreover, a new ordering and grouping algorithm that results in a higher convergence speed is proposed. Simulation results show that a significant improvement in performance is obtained using this technique.IEEE2006-032020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14041/1/14041_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14041/2/14041_2.doc (2006) A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector. Vehicular Technology, IEEE Transactions on, 55. enenhttps://eprints.kfupm.edu.sa/id/eprint/14041/info:eu-repo/semantics/openAccessoai::140412019-11-01T14:03:51Z
spellingShingle A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
Bentrcia, A.
Computer
status_str publishedVersion
title A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
title_full A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
title_fullStr A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
title_full_unstemmed A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
title_short A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
title_sort A new ordering and grouping algorithm for the linear weighted group matched filter successive interference cancellation detector
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14041/1/14041_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14041/2/14041_2.doc