DocumentCode :
1085675
Title :
Constraint gain
Author :
Fan, John L. ; Poo, T. Lei ; Marcus, Brian H.
Author_Institution :
Flarion Technol., Bedminster, NJ, USA
Volume :
50
Issue :
9
fYear :
2004
Firstpage :
1989
Lastpage :
2001
Abstract :
In digital storage systems where the input to the noisy channel is required to satisfy a modulation constraint, the constrained code and error-control code (ECC) are typically designed and decoded independently. The achievable rate for this situation is evaluated as the rate of average intersection of the constraint and the ECC. The gap from the capacity of the noisy constrained channel is called the constraint gain, which represents the potential improvement in combining the design and decoding of the constrained code and the ECC. The constraint gain is computed for various constraints over the binary-input additive white Gaussian noise (AWGN) channel (BIAWGNC) as well as over intersymbol interference (ISI) channels. Finally, it is shown that an infinite cascade of reverse concatenation with independent decoding of constraint and ECC has a capacity equal to the rate of average intersection.
Keywords :
AWGN channels; constraint theory; digital systems; error correction codes; intersymbol interference; binary-input additive white Gaussian noise channel; constrained code; constraint gain; digital storage systems; error-control code; intersymbol interference channels; noisy channel; reverse concatenation; AWGN; Additive white noise; Decoding; Error correction codes; Gaussian noise; Interference constraints; Intersymbol interference; Magnetic noise; Modulation coding; Optical noise; Capacity; ECCs; constrained codes; error-control codes; noisy constrained channels; reverse concatenation;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2004.833349
Filename :
1327800
Link To Document :
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