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Analogue decoding of tail-biting convolutional codes based on tanner graph

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3 Author(s)
Zahabi, M.R. ; XLIM/Univ. of Limoges ; Meghdadi, V. ; Cances, J.-P.

A scheme is proposed to decode a tail-biting convolutional code based on its Tanner graph, which is traditionally done using a forward-backward MAP algorithm. Therefore, decoding may be performed using a standard sum-product algorithm. With respect to decoding based on trellis, all variables in a Tanner graph are binary, which may lead to complexity reduction. A min-sum algorithm is used to decrease the analogue circuit complexity. Simulation shows there is no significant degradation compared with more complex traditional methods

Published in:

Electronics Letters  (Volume:42 ,  Issue: 20 )