Performance comparison of a class of (1,7) DFE detectors

Mathew, G.; Indukumar, K.C.; Lee, Y.X.; Wood, Roger

doi:10.1109/20.706743

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…1 [8]. It has a forward equalizer followed by two parallel sections, each comprising a summer, slicer, feedback equalizer, squared error block and a shift register of length , and an additional summer and path selector which are common to both sections.…”

Section: A M2dfe: Structure and Operationmentioning

confidence: 99%

“…Recently, an advanced version of MDFE, called M2DFE, was proposed. Using computer simulations, M2DFE has been shown to give the best BER performance compared to all the known DFE type detectors [8]. In this paper, we give theoretical analysis of M2DFE detector and show how the analysis is useful in fixing some of its parameters for optimum performance.…”

Section: Introductionmentioning

confidence: 98%

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Performance comparison of modified multilevel decision feedback equalization detectors

Indukumar

Lee²,

Mathew³

1999

IEEE Trans. Magn.

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Multilevel decision feedback equalization (MDFE) is a detection scheme that was developed for (1; k) coded recording channels. The user signal-to-noise ratio required to achieve a chosen bit error rate (BER) of 1e-6 has been shown to be about 1.9 dB more than that of the maximum likelihood lower bound for Lorentzian channel at user density 2.5. Recently, an advanced version of MDFE, called M2DFE [8], was proposed. By using computer simulations, the BER of M2DFE has been shown to improve by about 1 dB compared to MDFE.In this paper, we first discuss the various aspects of M2DFE design and then present its theoretical analysis. Using the analysis, we show how the two critical parameters in the design are to be chosen for optimum performance. We also propose a modified M2DFE detector, which exploits the noise correlation at the slicer input, to improve the BER performance as well as reduce error propagation considerably. These MDFE detectors are then compared for their BER's and error propagation performances.Index Terms-Magnetic recording, M2DFE, multilevel decision feedback equalization, signal detection.

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Section: A M2dfe: Structure and Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Performance comparison of modified multilevel decision feedback equalization detectors

Indukumar

Lee²,

Mathew³

1999

IEEE Trans. Magn.

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“…In this paper, ' we compare the performances of the MDFE [3], [5], [2] and the PRML [9], [10], [7] dass of detectors in the presence of NLTS and PE. We first intro duce nonlinear channel models in Section 2, and later give brief description of the MDFE and PRML dass detectors in Sections 3 and 4, respectively.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison of a class of multi-level DFE and PRML detectors in the presence of channel nonlinearities

Indukumar

Gopalaswamy²,

Liu³

et al. 1999

IEEE Trans. Magn.

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Nonlinear transition shift (NLTS) and partial erasure (PE) are two channel nonlinearities that degrade bit-error-rate (BER) performance of detectors at high den sities. In this paper, we compare BER performances of par tial response maximum-likelihood (PRML) detectors de veloped for (0, k) run-length-limited (RLL) coded channels with multi-level DFE (MDFE) family detectors at different levels of nonlinearity. Bit-by-bit simulations indicate that the MDFE family detectors are relatively robust to NLTS and PE compared to the PRML detectors. Results also show that the M3DFE detector, an advanced detector in the MDFE family, outperforms the other detectors at high densities under ,channel nonlinearities. Index Terms--Chan'nel nonlinearity, MDFE, PRML . Lor n1zian channel PE: 10% at PW50/2.5 User Denaty . Fig. 5. Constant BER curves with 10% PE at PW50/2.5

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Section: Optimality Of Mdfe Tedmentioning

confidence: 99%

“…We consider the MDFE detection scheme used in (1,7) coded channels [4], [5] and analyze its TED performance during acquisition. MDFE detector has a simple structure and offers relatively good performance for medium to high densities [5], [6]. The output of the transition based TED used in MDFE [3] is given by (3) where is the slicer input at time instant is timing offset, and is the corresponding decision at the slicer output.…”

Section: Optimality Of Mdfe Tedmentioning

confidence: 99%

DFE timing acquisition: analysis and a new approach for fast acquisition

et al. 2000

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Abstract-The problem of timing acquisition in decision feedback equalization (DFE) detectors for magnetic recording channels, in particular the multi-level DFE (MDFE), is considered. We first address the issue of the optimal choice of preamble pattern for timing acquisition and show that a 6 periodic pattern ( being the bit period) is optimum for medium to high user densities. Next, we show that the MDFE timing-error detector using the 6 -pattern is near optimum for acquisition. Finally, we propose a novel threshold-based fast acquisition scheme that can eliminate false lock and effectively prevent hang up problems.

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Performance comparison of a class of (1,7) DFE detectors

Cited by 11 publications

References 8 publications

Performance comparison of modified multilevel decision feedback equalization detectors

Performance comparison of modified multilevel decision feedback equalization detectors

Performance comparison of a class of multi-level DFE and PRML detectors in the presence of channel nonlinearities

DFE timing acquisition: analysis and a new approach for fast acquisition

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