Blind separation of complex I/Q independent sources with phase recovery

Blind separation of complex I/Q independent sources with phase recovery

Blind source separation (BSS) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this letter, we propose two BSS algorithms to s...

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Main Authors: Lin He, Trasapong Thaiupathump, Saleem A. Kassam
Format: Journal
Published: 2018
Subjects:
Computer Science
Engineering
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844408855&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62164
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-621642018-09-11T09:23:43Z Blind separation of complex I/Q independent sources with phase recovery Lin He Trasapong Thaiupathump Saleem A. Kassam Computer Science Engineering Blind source separation (BSS) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this letter, we propose two BSS algorithms to separate complex sources that have independent in-phase and quadrature (I/Q) parts. The proposed algorithms allow source phase recovery as well as separation. Simulation results demonstrate that the algorithms are effective in recovering source phases without affecting source separation. © 2005 IEEE. 2018-09-11T09:22:57Z 2018-09-11T09:22:57Z 2005-05-01 Journal 10709908 2-s2.0-18844408855 10.1109/LSP.2005.845601 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844408855&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62164
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Lin He
Trasapong Thaiupathump
Saleem A. Kassam
Blind separation of complex I/Q independent sources with phase recovery
description Blind source separation (BSS) techniques allow recovery of individual source signals from observed mixtures, exploiting only the assumption of mutual independence of sources. Generally, complex signals are recovered with an arbitrary phase rotation. In this letter, we propose two BSS algorithms to separate complex sources that have independent in-phase and quadrature (I/Q) parts. The proposed algorithms allow source phase recovery as well as separation. Simulation results demonstrate that the algorithms are effective in recovering source phases without affecting source separation. © 2005 IEEE.
format Journal
author Lin He
Trasapong Thaiupathump
Saleem A. Kassam
author_facet Lin He
Trasapong Thaiupathump
Saleem A. Kassam
author_sort Lin He
title Blind separation of complex I/Q independent sources with phase recovery
title_short Blind separation of complex I/Q independent sources with phase recovery
title_full Blind separation of complex I/Q independent sources with phase recovery
title_fullStr Blind separation of complex I/Q independent sources with phase recovery
title_full_unstemmed Blind separation of complex I/Q independent sources with phase recovery
title_sort blind separation of complex i/q independent sources with phase recovery
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18844408855&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62164
_version_ 1681425755922235392

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