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

This 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.

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Publication Details

Journal
IEEE Transactions on Magnetics
Published
2025-09-09
DOI
https://doi.org/10.1109/tmag.2025.3608000
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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Three-Track Detection Using a Multilayer Perceptron for Dual-Layer Bit-Patterned Magnetic Recording Systems

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article

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

Santi Koonkarnkhai, Sathapath Kilaso, Natthakan Rueangnetr, Piya Kovintavewat, Chanon Warisarn, Siriphon Plotchu, Warunee Martnok
article en

Abstract

This 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.

IEEE Transactions on MagneticsVol. 62(3)
Suan Sunandha Rajabhat University (TH), Nakhon Pathom Rajabhat University (TH), King Mongkut's Institute of Technology Ladkrabang (TH)
Openalex Percentile: Top 87%
Neural Networks and Applications
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