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.
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;
Conference_Titel :
Communications Theory Workshop, 2005. Proceedings. 6th Australian
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-9007-5
DOI :
10.1109/AUSCTW.2005.1624231
