Abstract
Since conventional data storage systems are faced with difficult problems such as superparamagnetic limit and thermal effect, bit-patterned media recording (BPMR) which resolves these problems receives attention as a promising next generation magnetic data storage system. The advantages of BPMR are reduced track edge noise and nonlinear bit shift and easily simplified tracking. However, the reduced spacing between islands to increase areal density causes severe intersymbol interference (ISI) and intertrack interference (ITI) which degrade BPMR system performance. To prevent error patterns that bring more ITI, modulation coding schemes was proposed [1] . Also, to improve system performance, neural networks have been applied to detection and decoding in data storage system [2] . In this paper, we propose two serial multi-layer perceptrons (MLPs) which are used for signal detection and modulation decoding, respectively, for BPMR.
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