Three-Track Detection Using a Multilayer Perceptron for Dual-Layer Bit-Patterned Magnetic Recording Systems

dc.contributor.authorSanti Koonkarnkhai
dc.contributor.authorSiriphon Plotchu
dc.contributor.authorWarunee Martnok
dc.contributor.authorNatthakan Rueangnetr
dc.contributor.authorSathapath Kilaso
dc.contributor.authorPiya Kovintavewat
dc.contributor.authorChanon Warisarn
dc.date.accessioned2026-05-08T19:25:23Z
dc.date.issued2025-9-9
dc.description.abstractThis paper proposes a multilayer perceptron (MLP)-based three-track detection method for dual-layer bit-patterned magnetic recording (BPMR) systems. Three different MLP architectures are explored and evaluated, namely, 1) a single MLP detecting all three tracks simultaneously, 2) three MLPs, each detecting one track independently, and 3) two MLPs dedicated to upper and lower recording layers. Simulation results show that the proposed MLP-based systems outperform the conventional partial-response maximum-likelihood detection scheme, particularly under severe interferences and high areal density. Among the proposed systems, the two-MLP architecture offers the optimal balance between detection accuracy and computational complexity, making it the most promising solution for future high-density magnetic recording systems.
dc.identifier.doi10.1109/tmag.2025.3608000
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20078
dc.publisherIEEE Transactions on Magnetics
dc.subjectNeural Networks and Applications
dc.subjectBlind Source Separation Techniques
dc.titleThree-Track Detection Using a Multilayer Perceptron for Dual-Layer Bit-Patterned Magnetic Recording Systems
dc.typeArticle

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