Abstract
Because of the physical and engineering problems of conventional magnetic data storage systems, bit-patterned media recording (BPMR) is expected to be a promising technology for extending the storage density to beyond 1 Tb /in2. To increase the storage density in BPMR systems, the separation between islands in both down- and cross-track directions must be reduced; this reduction results in two-dimensional interference from neighboring symbols in those directions, which is a major performance degradation factor in BPMR. Herein, we propose an iterative signal detection scheme between a Viterbi detector and a multilayer perceptron to improve the performance of a BPMR system. In the proposed signal detection scheme, we use the modified output of a multilayer perceptron as a priori information to improve equalization and extrinsic information to decrease the effect of intertrack interference.
Highlights
Owing to the increased demand for storage of digital data in the information age, conventional magnetic data storage systems have reached their storage density limit because of physical and engineering problems, such as the superparamagnetic limit
In the proposed detection scheme, to improve the bit-patterned media recording (BPMR) system performance, the modified output of the multilayer perceptron (MLP) is used as a priori information to improve equalization and extrinsic information to cancel the effect of intertrack interference (ITI)
In the conventional partial response maximum likelihood (PRML), the readback signal is detected without the MLP and iteration
Summary
Owing to the increased demand for storage of digital data in the information age, conventional magnetic data storage systems have reached their storage density limit because of physical and engineering problems, such as the superparamagnetic limit. This reduction results in major challenges of intersymbol interference (ISI) and intertrack interference (ITI) in the down- and cross-track directions, respectively; as such, two-dimensional (2D) ISI must be considered [3] These error factors disrupt signal detection and degrade BPMR system performance. The discrete BPMR readback signal, which is obtained by sampling Tz and Tx , can be written as follows: Mc. m=−Mc n=−Nc where Mc and Nc are the lengths of the interference from neighboring islands in the cross- and down-track directions, respectively; aj,k ∈ {−1, 1} is the k-th recorded user data bit of the j-th track, and nj,k is the electronic noise modeled as additive white Gaussian noise with zero mean and variance σ2.
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