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Braided Convolutional Codes: A New Class of Turbo-Like Codes

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4 Author(s)
Wei Zhang ; Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA ; Michael Lentmaier ; Kamil Sh. Zigangirov ; Daniel J. Costello Jr.

We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided convolutional codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free distance of these codes grows linearly with constraint length, i.e., they are asymptotically good.

Published in:

IEEE Transactions on Information Theory  (Volume:56 ,  Issue: 1 )