Performance of digital magnetic recording with equalization and offtrack interference

Abbott, W.L.; Cioffi, J.M.; Thapar, H.K.

doi:10.1109/20.101120

Cited by 42 publications

(17 citation statements)

References 26 publications

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“…First, it is relatively simple to compute, since it results from the application of leastsquares estimation theory. Second, Abbott showed that in a single-head system, both MSE and probability of error, the more absolute measure, behave similarly versus intertrack interference [26]. We are mainly interested in performance versus IT1 since that determines the ultimate density gain of a multiple-head system over a single-head system.…”

Section: (E) and Det (C)mentioning

confidence: 98%

Multichannel signal processing for multiple-head digital magnetic recording

Voois

Cioffi

1994

IEEE Trans. Magn.

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This paper analyzes the performance of a multiplehead, digital, magnetic recording system using multichannel signal processing theory. A multi-input, multi-output (MIMO) channel that models the multiple-head recording process provides the basis for this analysis. This model characterizes the write process, the read process and both electronics and media noise. In particular, the model accounts for side fringing between a read head and adjacent tracks; side fringing is a major cause of intertrack interference that is often neglected during signal processing analysis. Optimal decision feedback and partial response equalizers for the MLMO channel are derived using a minimum mean-squared error criterion. Numerical evaluations show that a magnetic recording system comprising a multiple-head array and equalizer combats intertrack interference much better than does the corresponding single-head system. As a result, the multiple-head system achieves a gain of up to a factor of 3.5 in radial density over the single-head system for a fixed value of maximum head misalignment.

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Section: (E) and Det (C)mentioning

confidence: 98%

Multichannel signal processing for multiple-head digital magnetic recording

Voois

Cioffi

1994

IEEE Trans. Magn.

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“…The resultant continuous-time read-back waveform is assumed to be [24], [25] (2) r(t) = Yakh(t -kT) ± n(t),I k where T is the bit duration, the ratio PW50 IT is referred to as the recording density, ak e{1, 1} is the data input of the channel, which is usually precoded, and h(t) is the pulse response (sometimes referred to as the dibit response) [25] given by…”

Section: Equalized Lorentzian Channel Modelmentioning

confidence: 99%

Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels

Vanichchanunt

Woradit

Nakpeerayuth

et al. 2006

2006 International Symposium on Communications and Information Technologies

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Abstract-In this paper, three noise correlation-aided iterative decoding schemes are proposed for magnetic recording channels, where the correlation is imposed by the equalizer's spectral shaping effect. The first approach exploits the noise' correlation in the form of linear prediction-aided detection by increasing the number of detector trellis states invoked by the Bahl, Cocke, Jelinek, and Raviv (BCJR) detection algorithm. In the second approach, we have extended the first technique by employing both previous and future correlated noise samples in order to attain noise estimates. In order to achieve this objective, the classic BCJR algorithm has to be modified for the sake of additionally exploiting future noise samples. The third approach is designed for reducing the decoding complexity by applying the Viterbi Algorithm (VA) to assist the detector in finding the encoded sequences associated with the survivor paths in the detector's trellis, without increasing the number of trellis states. We will demonstrate that for the classic PR4-equalized Lorentzian channel, the proposed schemes are capable of offering a performance gain in the range of 1.1-3.7 dB over that of a benchmark turbo decoding system at the BER of 10-5 and at a recording density of 2.86.

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“…[4,5], the issue of ITI has received much less attention, but may become particularly important in the future. This is due to the rapid advances in perpendicular recording research in recent years.…”

Section: Introductionmentioning

confidence: 99%

“…[6]. While the OTI can be mitigated to some extent by channel equalization [4], joint-track detection seems to be a more effective method to deal with ITI. The formulation of joint-track detection, the joint-PRML detection, was presented in Ref.…”

Section: Introductionmentioning

confidence: 99%