DocumentCode :
1537824
Title :
Constrained coding for binary channels with high intersymbol interference
Author :
Karabed, Razmik ; Siegel, Paul H. ; Soljanin, Emina
Author_Institution :
Siemens Microelectron., Scotts Valley, CA, USA
Volume :
45
Issue :
6
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
1777
Lastpage :
1797
Abstract :
Partial-response (PR) signaling is used to model communications channels with intersymbol interference (ISI) such as the magnetic recording channel and the copper-wire channel for digital subscriber lines. Coding for improving noise immunity in higher order partial-response channels, such as the “extended” class-4 channels denoted EPR4, E2PR4, E3PR4, has become an important subject as the linear densities in magnetic recording approach those at which these partial-response channels are the best models of real channels. In this paper, we consider partial-response channels for which ISI is so severe that the channels fail to achieve the matched-filter bound (MFB) for symbol error rate, assuming maximum-likelihood decoding. We show that their performance can be improved to the MFB by high-rate codes based on constrained systems, some of which may even simplify the Viterbi (1979) detectors relative to the uncoded channels. We present several examples of high-rate constrained codes for E2PR4 and E3PR4 channels and evaluate their performance by simulation
Keywords :
channel coding; digital magnetic recording; digital subscriber lines; error statistics; intersymbol interference; maximum likelihood decoding; partial response channels; Cu; E2PR4; E3PR4; EPR4; ISI; Viterbi detectors; binary channels; communications channels; constrained coding; copper-wire channel; digital subscriber lines; extended class-4 channels; high intersymbol interference; high-rate codes; high-rate constrained codes; higher order partial-response channels; linear densities; magnetic recording channel; matched-filter bound; maximum-likelihood decoding; noise immunity; partial-response signaling; performance evaluation; simulation; symbol error rate; uncoded channels; Communication channels; DSL; Error analysis; Interference constraints; Intersymbol interference; Magnetic noise; Magnetic recording; Maximum likelihood decoding; Maximum likelihood detection; Viterbi algorithm;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.782099
Filename :
782099
Link To Document :
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