A novel threshold technique for minimizing error propagation in MDFE read channel

Mathew, G.; Lee, Yuan Xing; Krachkovsky, V.Yu.

doi:10.1109/glocom.1998.775827

Cited by 7 publications

(16 citation statements)

References 7 publications

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“…Using this, (10) reduces to , where and . Further, is a Gaussian random variable with zero mean and variance given by , where .…”

Section: Appendix D Probability Of Selecting the Pathmentioning

confidence: 95%

“…From the figure, we note that the BER in erasure zone increases and that in nonerasure zone decreases when is increased from 0.05 to 0.5. The overall probability of error BER has its minimum at when EZ and this minimum shifts to 0.15 as EZ increases to 10 . This indicates that the choice of is 0.25, only when the path selection criterion 3 SNR in dB is defined as 10 log 10(V 2 op = 2 user ), where Vop is base-topeak of isolated transition response and 2 user is the noise variance in the user bandwidth.…”

Section: A Optimum Andmentioning

confidence: 96%

“…Error occurs if the bottom path is selected when the top path has its first bit correct. That is when (10) To simplify (10) further, we note that the dominant error patterns at high SNR's are and ,…”

Section: Appendix D Probability Of Selecting the Pathmentioning

confidence: 99%

“…We observe from the figure that the error event probability is lower and the error bursts decay faster in modified M2DFE compared to that in M2DFE and MDFE. Recently, different techniques [14], [13], [10] have been proposed for reducing the error propagation in MDFE. Adaptation of these techniques to modified MDFE detectors, which is under investigation, is expected to reduce error propagation further.…”

Section: Performance Comparisonmentioning

confidence: 99%

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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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“…Using this, (10) reduces to , where and . Further, is a Gaussian random variable with zero mean and variance given by , where .…”

Section: Appendix D Probability Of Selecting the Pathmentioning

confidence: 95%

Section: A Optimum Andmentioning

confidence: 96%

Section: Appendix D Probability Of Selecting the Pathmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

See 2 more Smart Citations

Performance comparison of modified multilevel decision feedback equalization detectors

Indukumar

Lee²,

Mathew³

1999

IEEE Trans. Magn.

Self Cite

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show abstract

“…In the erasure scheme, if the detected signal is smaller than a given threshold value, 0 is fed back; otherwise, it works as a slicer. In [5] and 1053-587X/$20.00 © 2005 IEEE [6], the authors proposed a threshold technique (TT) approach to detect the error events. The idea is that the past decision errors that reside in the feedback register tend to cause an offset at the slicer.…”

mentioning

confidence: 99%

Soft-threshold-based multilayer decision feedback equalizer (STM-DFE) algorithm and VLSI architecture

Lin

2005

IEEE Trans. Signal Process.

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Abstract-The decision feedback equalizer (DFE) is an efficient scheme to suppress intersymbol interference (ISI) in various communication and magnetic recording systems. However, most cost-effective DFE implementations suffer from the phenomenon of error propagation, which degrades its bit error rate (BER) performance. This paper proposes a soft-threshold-based multilayer DFE (STM-DFE) technique to reduce the BER. It involves very low hardware overhead costs as compared to the conventional DFE. When applied to a practical Lorentzian channel and channels of different eigenvalue spread, the STM algorithm even outperforms the Ideal DFE (IDFE) system (in the IDFE, symbols are correctly fed back without propagation errors). Simulation results show that the proposed scheme can efficiently reduce the burst error length (BEL) as well as BER. Additionally, the hardware overhead to implement the STM-DFE algorithm is negligible compared with the conventional DFE. By using the concepts of Shanbhag and Parhi and of Yang, Wu, and Lai, we also propose the pipelined STM-DFE (PSTM-DFE) architecture for high-speed communication/storage applications.

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Unified low-complexity decision feedback equalizer with adjustable double radius constraint

Cheng

2016

Digital Signal Processing

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A novel threshold technique for minimizing error propagation in MDFE read channel

Cited by 7 publications

References 7 publications

Performance comparison of modified multilevel decision feedback equalization detectors

Performance comparison of modified multilevel decision feedback equalization detectors

Soft-threshold-based multilayer decision feedback equalizer (STM-DFE) algorithm and VLSI architecture

Unified low-complexity decision feedback equalizer with adjustable double radius constraint

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