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Three-Track Detection Using a Multi-Layer Perceptron for Dual-Layer Bit-Patterned Magnetic Recording Systems
Author(s)
Koonkarnkhai, Santi
Plotchu, Siriphon
Martnok, Warunee
Kilaso, Sathapath
Kovintavewat, Piya
Date Issued
January 1, 2025
Type
Conference Paper
Abstract
This paper proposes a multi-layer perceptron (MLP)-based three-track detection method for dual-layer bit-patterned magnetic recording systems. Three architectures are explored: one MLP for three tracks, two MLPs for upper and lower layers, and three individual MLPs per track. Simulation results show that all MLP-based methods outperform conventional partial response maximum likelihood detection, especially under high areal density and complex interference. Among them, the two-MLP system achieves the best bit-error rate performance by effectively separating detection tasks across layers.
Citation
Digests of the 36th Magnetic Recording Conference Tmrc 2025, 2025