Title :
Iterative decoding of non-systematic turbo-codes
Author :
Collins, O.M. ; Takeshita, O.Y. ; Costello, D.J., Jr.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
Parallel concatenated convolutional codes (PCCCs) are usually constructed using systematic recursive convolutional codes (SRCCs) as constituent codes. In this paper, we introduce a new version of parallel concatenation that uses nonsystematic recursive convolutional codes (NSRCCs) as constituent codes. A systematic constituent code then becomes a particular case of this general scheme. The use of this larger class of constituent codes enhances the number of possible codes in the search space, thus allowing the possibility of finding better codes. We also introduce a modified iterative decoding method for this more general form of parallel concatenation. The decoding technique is no more complex than the standard iterative decoding algorithm.
Keywords :
concatenated codes; convolutional codes; iterative decoding; turbo codes; NSRCC; PCCC; complexity; constituent codes; iterative decoding; modified iterative decoding method; nonsystematic recursive convolutional codes; nonsystematic turbo-codes; parallel concatenated convolutional codes; search space; systematic constituent code; Bit error rate; Concatenated codes; Convolutional codes; Feedback; Iterative algorithms; Iterative decoding; Iterative methods; NASA; Noise figure; Turbo codes;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento, Italy
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866467