A method for suppressing error propagation in (1,7) MDFE detectors

Ueno, H.; Shimoda, K.; Sugawara, Tatsuya; Mutoh, Hiroshi

doi:10.1109/20.800802

Cited by 4 publications

(11 citation statements)

References 4 publications

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“…The advantage of this approach is that there is no false detection. Since the proportion of constraint violating error events is much more than constraint satisfying error events [4], we do not address the detection/suppression of the latter in this paper. .…”

Section: Path Selection and Detection/suppression Of Error Propagmentioning

confidence: 99%

“…Assuming the noise in (1) is a zero-mean Gaussian random variable with variance , the conditional pdf's in (4) can be written as (5) (6) where (outer eye-levels) or (inner eye-levels) depending upon the data pattern , and is given by…”

Section: Conditional Map Technique For Suppressing Long Error Burstsmentioning

confidence: 99%

“…The case of multi-path DFE is also considered in [4]. Since the past decision errors tend to cause an offset at the slicer input, the threshold method described in [3] makes use of this offset to detect the presence of EP.…”

Section: Introductionmentioning

confidence: 99%

“…Since the past decision errors tend to cause an offset at the slicer input, the threshold method described in [3] makes use of this offset to detect the presence of EP. Violation of code constraints, accumulated gain and DC errors are used in [4] to detect EP. Upon detection of EP, an appropriate offset is added to prevent further decision errors.…”

Section: Introductionmentioning

confidence: 99%

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Conditional ML and MAP techniques for error propagation suppression in multi-path DFE detectors

Lin

Krachkovsky²,

Mathew³

2000

IEEE Trans. Magn.

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Simple and effective Error Propagation (EP) suppression techniques were reported earlier for decision feedback equalization (DFE) detectors. However, these techniques are not well suited for multi-path DFE detectors because EP suppression and path selection mechanisms interfere with each other. In this paper, we propose novel techniques for improving the EP performance of multi-path DFE schemes, in particular, the (1 7) coded M3DFE (advanced multi-level DFE). The effectiveness of the proposed techniques is quantified by evaluating the sector failure rate (SFR) improvement. Simulation and calculation results show that after applying the proposed EP suppression techniques, M3DFE achieves almost the same SFR as that caused by random errors.Index Terms-Decision feedback equalization, multi-level DFE, error propagation suppression, multi-path detectors.

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Section: Path Selection and Detection/suppression Of Error Propagmentioning

confidence: 99%

Section: Conditional Map Technique For Suppressing Long Error Burstsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Conditional ML and MAP techniques for error propagation suppression in multi-path DFE detectors

Lin

Krachkovsky²,

Mathew³

2000

IEEE Trans. Magn.

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“…Replacing an unreliable decision by a temporary decision and correcting the latter based on the decision at the next instant was proposed by Fertner [6] for reducing EP in DFE. Techniques for minimizing EP in MDFE were proposed by Mathew et al [7], Ueno et al [8], [9], and Likhanov et al [10]. Mathew et al [7] developed threshold techniques for detecting the presence of erroneous decisions and changed the slicer threshold appropriately to prevent further decision errors.…”

Section: Introductionmentioning

confidence: 99%

Techniques for minimizing error propagation in decision feedback detectors for recording channels

2001

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Decision feedback equalization (DFE) is a low-cost approach for signal detection in magnetic recording channels. However, it suffers from the phenomenon of error propagation (EP). In this paper, two approaches are proposed for minimizing EP in DFE. The first approach imposes appropriate constraints on the feedback equalizer. The second approach uses simple threshold techniques to detect the presence of decision errors and to either correct these errors or minimize the possibility of further errors. Computer simulations show that the proposed techniques reduce EP very significantly. Theoretical analyses of the threshold techniques are presented to quantify the associated false and correct detection probabilities. By combining the analysis with an existing EP simulation method, a fast simulation procedure is derived for estimating EP and bit error rate (BER).

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A novel fast approach for estimating error propagation in decision feedback detectors

Jin¹,

Farhang‐Boroujeny²,

Mathew

et al. 2001

IEEE J. Select. Areas Commun.

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A method for suppressing error propagation in (1,7) MDFE detectors

Cited by 4 publications

References 4 publications

Conditional ML and MAP techniques for error propagation suppression in multi-path DFE detectors

Conditional ML and MAP techniques for error propagation suppression in multi-path DFE detectors

Techniques for minimizing error propagation in decision feedback detectors for recording channels

A novel fast approach for estimating error propagation in decision feedback detectors

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