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Impact of Background Interference on Signal-to-Noise Ratio in Heat-Assisted Magnetic Recording | IEEE Journals & Magazine | IEEE Xplore

Impact of Background Interference on Signal-to-Noise Ratio in Heat-Assisted Magnetic Recording


Abstract:

We discuss background interference (BGI) arising from the read-back of preexisting data and adjacent tracks on a recording medium. A signal-to-noise ratio analysis is use...Show More

Abstract:

We discuss background interference (BGI) arising from the read-back of preexisting data and adjacent tracks on a recording medium. A signal-to-noise ratio analysis is used to measure the impact of BGI in heat-assisted magnetic recording in a spin-stand tester. The signal-to-noise ratio for a data track with an alternating field background was compared to a data track written over a pair of background tracks. We considered the effect of background track offsets: the distance between the background and data tracks. BGI, which depends on the background track offset, can degrade read-back performance. The dibit extraction technique is able to separate the linear dibit response and the BGI in the read-back waveform.
Published in: IEEE Magnetics Letters ( Volume: 9)
Article Sequence Number: 4506704
Date of Publication: 02 October 2018

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I. INTRODUCTION

It is well known that areal density of perpendicular magnetic recording (PMR) is limited to approximately 1 terabit per square inch (Tb/in2) due to its fundamental limit known as superparamagnetic limit [Wood 2009]. To achieve an ultrahigh storage density, a smaller grain size and a very high coercivity (Hc) medium is required in order to maintain the signal-to-noise ratio (SNR) and magnetic stability. However, current magnetic write fields ( Hw) cannot write on the higher coercivity medium (Hw ≪ Hc). Thus, the writing process must be assisted to reduce coercivity of the magnetic medium. In recent years, heat-assisted magnetic recording (HAMR) has been proposed as one of the leading candidates [Rausch 2013, Wu 2013, Rea 2014]. This technology utilizes a near-field transducer (NFT) to heat a tiny spot on a high magnetocrystalline anisotropy medium before recording data at room temperature [Kryder 2008].

References

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