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Soft-Information Improvement using Multilayer Perceptron (MLP) in Bit-Patterned Magnetic Recording (BPMR) Systems
Author(s)
Date Issued
June 27, 2021
Type
Conference Paper
Abstract
The effects of both inter-track interference and inter-symbol interference are the main hindrances in alternated magnetic recording technologies such as bit-patterned magnetic recording. To increase an areal density of hard disk drives over 1 terabit per square inch; therefore, these two effects must be coped with some powered signal processing techniques. In this paper, we propose to use the multilayer perceptron, which is one of the artificial neural networks, to improve the soft information or log-likelihood ratios that are obtained from parallel soft-output Viterbi algorithm (SOVA) detectors. The computer-simulated results reveal that our proposed recording system can efficiently yield better bit error rate performance when it was compared with the previously proposed magnetic recording systems.
Citation
2021 36th International Technical Conference on Circuits Systems Computers and Communications Itc Cscc 2021, 2021