Double-binary RSC convolutional codes selection based on convergence of iterative turbo-decoding process

Author

Balta, Horia ; Isar, Alexandru ; Kovaci, Maria ; Nafornita, Miranda ; Balta, Maria

Author_Institution

Fac. of Electron. & Telecommun., Univ. Politeh. of Timisoara, Timisoara, Romania

fYear

2011

fDate

June 30 2011-July 1 2011

Firstpage

1

Lastpage

4

Abstract

This paper presents an analysis of the recursive systematic double-binary convolutional codes (RSDBC) and a performance criterion which can be used to establish their hierarchy. This hierarchy serves for the selection of high performance turbo-codes. The criterion already mentioned consists in the convergence of the corresponding iterative turbo decoding process. We investigated the families of codes of memory 2, 3, 4 and 5. The simulation results are presented in two manners: statistically for the entire set of codes and nominal for the best ones.

Keywords

binary codes; convergence; convolutional codes; iterative decoding; turbo codes; convergence; double-binary RSC convolutional code selection; high performance turbo-codes; iterative turbo-decoding process; performance criterion; recursive systematic double-binary convolutional codes; Convergence; Convolutional codes; Generators; Niobium; Observers; Signal to noise ratio; Turbo codes; convergence; generator matrix; iterative methods; turbo code;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on

Conference_Location

lasi

Print_ISBN

978-1-61284-944-7

Type

conf

DOI

10.1109/ISSCS.2011.5978743

Filename

5978743