Turbo-Like Structures for Chaos Encoding and Decoding

In this paper, we explain how to build a turbo-like structure with binary inputs and chaotic outputs for efficient coding and decoding in additive white Gaussian noise (AWGN). We analyze the convergence of the decoding algorithm, the performance in the error floor region and explain minimum distance properties of the resulting codes.


Published in:
IEEE Transactions in Communications, 57, 3, 597-601
Year:
2009
Keywords:
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Note: The status of this file is: EPFL only


 Record created 2009-03-11, last modified 2018-03-17

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