Investigation into Harmful Patterns over Multitrack Shingled Magnetic Detection Using the Voronoi Model

Mohsen Bahrami, Chaitanya Kumar Matcha, Seyed Mehrdad Khatami, Shounak Roy, Shayan Garani Srinivasa, Bane Vasic

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Two-dimensional magnetic recording 2-D (TDMR) is a promising technology for next generation magnetic storage systems based on a systems-level framework involving sophisticated signal processing at the core. The TDMR channel suffers from severe jitter noise along with electronic noise that needs to be mitigated during signal detection and recovery. Recently, we developed noise prediction-based techniques coupled with advanced signal detectors to work with these systems. However, it is important to understand the role of harmful patterns that can be avoided during the encoding process. In this paper, we investigate the Voronoi-based media model to study the harmful patterns over multitrack shingled recording systems. Through realistic quasi-micromagnetic simulation studies, we identify 2-D data patterns that contribute to high media noise. We look into the generic Voronoi model and present our analysis on multitrack detection with constrained coded data. We show that the 2-D constraints imposed on input patterns result in an order of magnitude improvement in the bit-error rate for the TDMR systems. The use of constrained codes can reduce the complexity of 2-D intersymbol interference (ISI) signal detection, since the lesser 2-D ISI span can be accommodated at the cost of a nominal code rate loss. However, a system must be designed carefully so that the rate loss incurred by a 2-D constraint does not offset the detector performance gain due to more distinguishable readback signals.

Original languageEnglish (US)
Article number7165654
JournalIEEE Transactions on Magnetics
Volume51
Issue number12
DOIs
StatePublished - Dec 1 2015

Keywords

  • 2D no isolated bit constraint
  • GBP algorithm
  • TDMR systems
  • bit error rate
  • multi-track detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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