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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: | 10.1109/TCSI.2012.2221218 | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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