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 d free=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
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