DocumentCode :
1254417
Title :
Cosets of convolutional codes with least possible maximum zero- and one-run lengths
Author :
Hole, Kjell Jorgen ; Ytrehus, Oyvind
Author_Institution :
Dept. of Inf., Bergen Univ., Norway
Volume :
44
Issue :
1
fYear :
1998
fDate :
1/1/1998 12:00:00 AM
Firstpage :
423
Lastpage :
431
Abstract :
A communication or storage system may use a coset of a binary convolutional code for both symbol synchronization and error control. To facilitate symbol synchronization, the coset must have a short maximum zero-run length Lmax. General upper and lower bounds on Lmax were given previously by Hole. In this correspondence we use these bounds to identify which convolutional codes have cosets with short Lmax. For such a code, we then show how to determine a coset with the least possible Lmax among all cosets of the code. Exact expressions for the least possible Lmax of convolutional code cosets are given, and examples of such cosets with large free distances are tabulated. Bounds on Lmax for cosets of block codes are also provided. It is indicated how to tighten the bounds for block codes satisfying the one-way chain condition. We show that the cosets obtained from traditional high-rate block code constructions have larger Lmax than cosets of convolutional codes with approximately the same rates. In some systems the convolutional code cosets must have short maximum one-run lengths as well as short maximum zero-run lengths to avoid loss of symbol synchronization. It is shown how to determine convolutional codes whose cosets with least possible maximum zero-run lengths also have least possible maximum one-run lengths
Keywords :
binary sequences; block codes; convolutional codes; polynomial matrices; runlength codes; synchronisation; binary convolutional code; block codes; communication system; convolutional codes; cosets; error control; large free distances; least possible maximum zero-run length; least possible one-run length; lower bounds; one-way chain condition; parity check matrices; storage system; symbol synchronization; upper bounds; Block codes; Communication systems; Convolutional codes; Demodulation; Encoding; Error correction; Information theory; Linear code; Modulation coding; Sufficient conditions;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.651075
Filename :
651075
Link To Document :
بازگشت