DocumentCode
1748015
Title
Improving turbo-like codes using iterative decoder analysis
Author
Divsalar, Dariush ; Dolinar, Sam ; Pollara, Fabrizio
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear
2001
fDate
2001
Firstpage
100
Abstract
The density evolution method is used to analyze the performance and optimize the structure of parallel and serial turbo codes, and generalized serial concatenations of mixtures of different outer and inner codes. Design examples are given for mixture codes
Keywords
concatenated codes; iterative decoding; turbo codes; density evolution method; generalized serial concatenations; inner codes; iterative decoder analysis; mixture codes; outer codes; parallel turbo codes; serial turbo codes; Convergence; Convolutional codes; Iterative decoding; Laboratories; Optimization methods; Performance analysis; Propulsion; Signal to noise ratio; Space technology; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-7123-2
Type
conf
DOI
10.1109/ISIT.2001.935963
Filename
935963
Link To Document