Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
A distance spectrum interpretation of turbo codes
IEEE Transactions on Information Theory - Part 1
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It is well known the fact that turbo codes has better performance as the number of iteration and the interleaver size increases in the AWGN channel environment. However, as the number of iteration and the interleaver size are increased, it is required much delay and computation for iterative decoding. Therefore, it is important to devise an efficient criterion to stop the iteration process and prevent unnecessary computations and decoding delay. In this paper, we propose a new stop criterion for decoding turbo codes. It is verifying that the proposal iterative decoding stop criterion can be reduced the average iterative decoding number compared to conventional schemes with a negligible degradation of the error performance.