Performance of the Contraction Mapping-Based Iterative Two-Dimensional Equalizer for Bit-Patterned Media

Bit-patterned media (BPM) storage is one of the promising technologies to overcome the limitations of the conventional magnetic recording. However, a high-density BPM storage has intertrack interference, intersymbol interference and noise, which severely degrade the system performance. In this paper, we present a simple iterative two-dimensional (2-D) equalizer based on the contraction mapping theorem to mitigate these adverse effects. In the simulation, we demonstrate the bit separation characteristics of the one-dimensional (1-D) and proposed 2-D equalizers and evaluate the bit-error-rate (BER) performance of the proposed equalizer comparing with the conventional equalizers. According to the simulation results, the proposed equalizer is a promising candidate with maintaining proper complexity for a high-density BPM storage.