A class of partial response systems for increasing storage density in magnetic recording

Thapar, H.K.; Patel, A. M.

doi:10.1109/tmag.1987.1065230

Cited by 213 publications

(54 citation statements)

References 7 publications

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“…Advanced signal processing and detection techniques have played an important role in the design of all data storage systems [24], [13], [4], [14], [15], [1], [10]. Indeed techniques such as partial-response max-likelihood [4], [21], [24] were responsible for significantly improving magnetic disk technology.…”

Section: Introductionmentioning

confidence: 99%

Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage

Kumar¹,

Agarwal²,

Ramamoorthy³

et al. 2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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There is an increasing need for high density data storage devices driven by the increased demand of consumer electronics. In this work, we consider a data storage system that operates by encoding information as topographic profiles on a polymer medium. A cantilever probe with a sharp tip (few nm radius) is used to create and sense the presence of topographic profiles, resulting in a density of few Tb per in.2 . The prevalent mode of using the cantilever probe is the static mode that is harsh on the probe and the media. In this article, the high quality factor dynamic mode operation, that is less harsh on the media and the probe, is analyzed. The read operation is modeled as a communication channel which incorporates system memory due to inter-symbol interference and the cantilever state.We demonstrate an appropriate level of abstraction of this complex nanoscale system that obviates the need for an involved physical model. Next, a solution to the maximum likelihood sequence detection problem based on the Viterbi algorithm is devised. Experimental and simulation results demonstrate that the performance of this detector is several orders of magnitude better than the performance of other existing schemes.

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Section: Introductionmentioning

confidence: 99%

Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage

Kumar¹,

Agarwal²,

Ramamoorthy³

et al. 2009

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference

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“…In [6], Thapar and Partel extended the contribution of [4] and [5] by proposing a polynomial-based class of partial response signaling for magnetic recording channels, where the signaling waveform was gpp(D)= ( -D)(1+D)n, n = 0,1,2,..., and n has to be increased for the sake of increasing the achievable recording density, which may be attained upon increasing the pulse-shaping equalization and decoding complexity. The factor (1-D) is used to account for the spectral null of recording channels at DC whereas the factor (1 + D)n matches the high-frequency attenuation of the channel resulting from losses due to the head-tomedium spacing and owing to the finite recording transition width [24].…”

Section: Introductionmentioning

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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“…U svim modelima razmatrana je idealna ekvalizacija staza sa E 2 PR4 parcijalnim odzivom [6]. Na osnovu analize, kao i minimalnog euklidskog rastojanja (m.e.r.…”

Section: Po/ Udkunclassified

“…Ekvalizacija magnetskog kanala u suštini predstavlja modelovanje njegovog odziva polinomom oblika (12) [6], [33] i [36]. Uobičajeno je da se kanali sa ovim prenosnim polinomom nazivaju i kanali sa parcijalnim odzivom (partial response -PR channels) [36], pri tome se često govori i o ekvalizaciji izlaznog signala kanala na određeni parcijalni odziv.…”

A class of partial response systems for increasing storage density in magnetic recording

Cited by 213 publications

References 7 publications

Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage

Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage

Noise Correlation-Aided Iterative Decoding for Magnetic Recording Channels

Soft-decision decoding of MTR codes over magnetic recording channels

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