Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84915
Title: An adaptive subsystem based algorithm for channel equalization in a SIMO system
Authors: Khong, Andy Wai Hoong
Liao, Lei.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Integrated circuits
Issue Date: 2013
Source: Liao, 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.
Series/Report no.: IEEE transactions on circuits and systems I: regular papers
Abstract: The 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.
URI: https://hdl.handle.net/10356/84915
http://hdl.handle.net/10220/17255
DOI: http://dx.doi.org/10.1109/TCSI.2012.2221218
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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