DocumentCode :
3314761
Title :
Low complexity decoding for convolutional codes
Author :
Vinck, Han
Author_Institution :
Essen Univ., Germany
fYear :
1992
fDate :
17-19 Sep 1992
Firstpage :
109
Lastpage :
112
Abstract :
Several attempts to reduce the decoding complexity for convolutional codes are described. Although most of the attempts were unsuccessful, the author gained interesting insight which helped in understanding the theory of convolutional codes and led to further studies. It is concluded that the performance of the standard v=6 Viterbi decoder is hard to beat. The author gives a concatenated coding scheme using the same v=6 code and a distance 2 code to obtain an almost ML decoding algorithm with the performance of a dfree=20 code
Keywords :
computational complexity; convolutional codes; decoding; Viterbi decoder; almost ML decoding algorithm; concatenated coding scheme; convolutional codes; decoding complexity; distance 2 code; low-complexity decoding; Bit error rate; Circuit noise; Concatenated codes; Convolutional codes; Decoding; Demodulation; Polynomials; State estimation; State-space methods; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
Type :
conf
DOI :
10.1109/ICSYSE.1992.236930
Filename :
236930
Link To Document :
بازگشت