Noise-predictive maximum likelihood (NPML) detection

Noise-predictive maximum likelihood (NPML) detection

Sequence detectors for the digital magnetic recording channel that are based on noise-predictive partial-response equalization are described. Called Noise-Predictive Maximum Likelihood (NPML) detectors, they arise by imbedding a noise prediction/whitening process into the branch metric computation o...

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Veröffentlicht in:IEEE transactions on magnetics 1998-01, Vol.34 (1), p.110-117
Hauptverfasser: Coker, J.D., Eleftheriou, E., Galbraith, R.L., Hirt, W.
Format: Artikel
Sprache:eng
Schlagworte:
Detectors
Digital magnetic recording
Equalizers
Feedback
IIR filters
Magnetic noise
Magnetic recording
Maximum likelihood detection
Performance gain
Polynomials
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Zusammenfassung:Sequence detectors for the digital magnetic recording channel that are based on noise-predictive partial-response equalization are described. Called Noise-Predictive Maximum Likelihood (NPML) detectors, they arise by imbedding a noise prediction/whitening process into the branch metric computation of a Viterbi detector. NPML detectors can be realized in a form that allows RAM table look-up implementation of the imbedded feedback. Alternatively, the noise prediction/whitening mechanism can be implemented as an infinite impulse response (IIR) filter. For a Lorentzian channel with operating points in the range 0.5
ISSN:0018-9464
1941-0069
DOI:10.1109/20.663468