Title :
Optimising the constituent codes for turbo decoders
Author :
Ho, Mark S C ; Pietrobon, Steven S. ; Giles, Tim
Author_Institution :
Mobile Commun. Res. Center, South Australia Univ., Mawson Lakes, SA, Australia
Abstract :
Since the introduction of turbo codes a large amount of research effort has been spent on improving turbo coding performance. One way of improving the performance is to choose the best constituent codes. Previously the constituent codes have been chosen by maximising the input weight 2 effective free distance deff2. The number of nearest neighbours Neff is also an important parameter. This paper presents a list of constituent codes that maximise deff2 and minimise the Neff. By choosing constituent codes that minimise Neff the performance of turbo codes can be improved with no increase in complexity
Keywords :
decoding; turbo codes; constituent codes optimisation; input weight 2 effective free distance; number of nearest neighbours; turbo codes; turbo decoders; Australia; Contracts; Convolutional codes; Decoding; Error correction codes; Hydrogen; Lakes; Mobile communication; Polynomials; Turbo codes;
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5000-6
DOI :
10.1109/ISIT.1998.708775
