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|Title:||An adaptive subsystem based algorithm for channel equalization in a SIMO system||Authors:||Khong, Andy Wai Hoong
|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
|Appears in Collections:||EEE Journal Articles|
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