DocumentCode
2942194
Title
Average ML Asymptotic Performances of Different Serial Turbo Ensembles
Author
Fagnani, Fabio ; Garello, Roberto ; Garin, Federica
Author_Institution
Dipartimento di Matematica, Politecnico di Torino, Turin
fYear
2006
fDate
9-14 July 2006
Firstpage
572
Lastpage
576
Abstract
In this paper we study the ML error probability of serially concatenated schemes averaged over different interleaver ensembles. We prove asymptotic results when the interleaver length goes to infinity: differently from the parallel case, the choice of the ensemble can change the decreasing speed of error probability
Keywords
concatenated codes; error statistics; interleaved codes; maximum likelihood estimation; turbo codes; ML error probability; interleaver ensembles; serial turbo ensembles; serially concatenated schemes; Code standards; Concatenated codes; Convergence; Error probability; H infinity control; Performance analysis; Signal to noise ratio; State estimation; Turbo codes; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2006 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
1-4244-0505-X
Electronic_ISBN
1-4244-0504-1
Type
conf
DOI
10.1109/ISIT.2006.261781
Filename
4036027
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