DocumentCode :
1278306
Title :
Noise-predictive maximum-likelihood method combined with infinite impulse response equalization
Author :
Kim, Younggyun ; Moon, Jaekyun
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
35
Issue :
6
fYear :
1999
fDate :
11/1/1999 12:00:00 AM
Firstpage :
4538
Lastpage :
4543
Abstract :
An infinite impulse response (IIR) can closely approximate the high density magnetic recording channel response with only a single pole and a small number of zeros. As a consequence, a near-optimal performance can be achieved with the Viterbi algorithm (VA) incorporating a single-tap noise predictor. The number of states in the VA trellis is determined by the number of zeros used in the IIR modeling of the channel response. The single noise-predictor tap corresponds to the single pole in the IIR model. The overall complexity for a given level of performance is smaller with this approach than with the noise-predictive maximum-likelihood (NPML) method based on conventional partial response equalization
Keywords :
digital magnetic recording; equalisers; error statistics; magnetic recording noise; maximum likelihood detection; poles and zeros; prediction theory; IIR equalization; IIR modeling; Viterbi algorithm; error probability; high density magnetic recording channel response; infinite impulse response equalization; near-optimal performance; noise-predictive maximum-likelihood method; single-tap noise predictor; Autoregressive processes; Colored noise; Detectors; Magnetic noise; Magnetic recording; Maximum likelihood detection; Moon; Poles and zeros; Semiconductor device noise; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.809149
Filename :
809149
Link To Document :
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