DocumentCode
1412665
Title
Permutation fixed points with application to estimation of minimum distance of turbo codes
Author
Daneshgaran, Fred ; Mondin, Marina
Author_Institution
Dept. of Electr. & Comput. Eng., California State Univ., Los Angeles, CA, USA
Volume
46
Issue
7
fYear
2000
fDate
11/1/2000 12:00:00 AM
Firstpage
2336
Lastpage
2349
Abstract
We present a systematic technique for obtaining all the input sequences that are mapped by a given permutation either to themselves or to shifted versions of themselves (generically called permutation fixed points). Such sequences or their subsets, represent the primary candidates for examination in connection with obtaining estimates of the minimum distance of parallel concatenated codes, specially for interleaver lengths for which the determination of the actual minimum distance may be very difficult. Subsequently, we present a new class of permutations that nearly achieve the lower bound on the number of possible fixed points associated with a given permutation of prime length p. Preliminary experimental evidence suggests that certain permutations of this class lead to turbo codes with large minimum distances fur short interleaver lengths
Keywords
concatenated codes; convolutional codes; interleaved codes; parameter estimation; sequences; turbo codes; Galois theory; experiment; graph theory; group theory; input sequences; interleaver lengths; lower bound; minimum distance estimation; parallel concatenated convolutional codes; permutation fixed points; prime length; subsets; turbo codes; Carbon capture and storage; Computer errors; Concatenated codes; Convolutional codes; Interleaved codes; Iterative decoding; Performance gain; Turbo codes;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.887848
Filename
887848
Link To Document