Error propagation evaluation for RLL-constrained DFE read channels

Krachkovsky, V.Yu.; Lee, Yuan Xing; Mathew, G.; Liu, Bin; Lin, M.Y.; Wood, Roger; Chwee, Tong Mui

doi:10.1109/20.663504

Cited by 18 publications

(11 citation statements)

References 17 publications

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“…On the other hand, if the SNR is too low or if t is too small, this approximation may become a loose (up to a factor of N I , the number of interleaves) upper bound for P,f because the negative terms in (6) are not negligible. See also [5] for a different approach of computing the ECC failure rate.…”

Section: Performance Analysis Of Parity Codesmentioning

confidence: 99%

On the performance of parity codes in magnetic recording systems

Feng

Vityaev²,

Burd³

et al.

Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137)

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Section: Performance Analysis Of Parity Codesmentioning

confidence: 99%

On the performance of parity codes in magnetic recording systems

Feng

Vityaev²,

Burd³

et al.

Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137)

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“…Each of the patterns occurs with probability and the BER is given by BER (13) where is the probability of bit error given input sequence and is the set of all possible -length NRZI coded RLL 2/3 (1, 7) input sequences. It follows that NEZ NEZ EZ EZ EZ EZ EZ (14) where NEZ and EZ , respectively, represent the probabilities of NEZ and EZ for a given sequence NEZ , EZ , and EZ are the probabilities of bit error in NEZ, in EZ with and in EZ with , respectively, for a given input sequence.…”

Section: Appendix E Bit-error-rate Expressionmentioning

confidence: 99%

“…In passing, we note that an alternative method for computing the BER of MDFE using Markov chain modeling is given in [14], and the analysis of BER for sequence detectors is given in [7,Ch. 9].…”

Section: Appendix B Probability Of Error In Erasure Zonementioning

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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“…Case 2) For (22) Moreover, the term can be removed from (21) and (22), and is added into (21), which is given by Stage 1. Consequently, when for case or for case should be selected as 1.…”

Section: ) Delay Decision Mode (Ddm)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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Error propagation evaluation for RLL-constrained DFE read channels

Cited by 18 publications

References 17 publications

On the performance of parity codes in magnetic recording systems

On the performance of parity codes in magnetic recording systems

Performance comparison of modified multilevel decision feedback equalization detectors

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

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