Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84915
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dc.contributor.authorKhong, Andy Wai Hoongen
dc.contributor.authorLiao, Lei.en
dc.date.accessioned2013-11-05T05:02:10Zen
dc.date.accessioned2019-12-06T15:53:33Z-
dc.date.available2013-11-05T05:02:10Zen
dc.date.available2019-12-06T15:53:33Z-
dc.date.copyright2013en
dc.date.issued2013en
dc.identifier.citationLiao, L., & Khong, A. W. H. (2013). An adaptive subsystem based algorithm for channel equalization in a SIMO system. IEEE transactions on circuits and systems I: regular papers, 60(6), 1559-1569.en
dc.identifier.urihttps://hdl.handle.net/10356/84915-
dc.identifier.urihttp://hdl.handle.net/10220/17255en
dc.description.abstractThe principle of multiple input/output inversion theorem (MINT) has been employed for multi-channel equalization. In this work, we propose to partition a single-input multiple-output system into two subsystems. The equivalence between the deconvoluted signals of the two subsystems is termed as auto-relation and we subsequently exploit this relation as an additional constraint to the existing adaptive MINT algorithm. In addition, we provide analysis of the auto-relation constraint and show that this constraint confines the solution of equalization filters within a multi-dimensional space. We also explain through the use of convergence analysis why our proposed algorithm can achieve a higher rate of convergence compared to the existing MINT-based algorithms. Simulation results, using both synthetic and recorded channel impulse responses, show that our proposed auto-relation aided MINT algorithm can achieve a fast convergence compared to the existing MINT-based algorithms.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE transactions on circuits and systems I: regular papersen
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Integrated circuitsen
dc.titleAn adaptive subsystem based algorithm for channel equalization in a SIMO systemen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doihttp://dx.doi.org/10.1109/TCSI.2012.2221218en
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