DocumentCode
1808429
Title
A new class of parallel data convolutional codes
Author
Xiang, Wei ; Pietrobon, Steven S.
Author_Institution
Fac. of Eng. & Surveying, Southern Australia Univ., Qld.
fYear
2005
fDate
2-4 Feb. 2005
Firstpage
84
Lastpage
88
Abstract
We propose a new class of parallel data convolutional codes (PDCCs) in this paper. The PDCC encoders inputs are composed of an original block of data and its interleaved version. A novel single self-iterative soft-in/soft-out a posteriori probability (APP) decoder structure is proposed for the decoding of the PDCCs. Simulation results are presented to compare the performance of PDCCs to that of parallel concatenated convolutional codes (PCCCs)
Keywords
concatenated codes; convolutional codes; iterative decoding; a posteriori probability decoder; interleaved version; parallel data convolutional codes; self-iterative soft-in soft-out; Australia; Chromium; Concatenated codes; Convolutional codes; Decoding; Delay; Indium phosphide; Satellites; APP; PDCCs; Self-iterative;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Theory Workshop, 2005. Proceedings. 6th Australian
Conference_Location
Brisbane, Qld.
Print_ISBN
0-7803-9007-5
Type
conf
DOI
10.1109/AUSCTW.2005.1624231
Filename
1624231
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