Turbo-like structures for chaos encoding and decoding

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...

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Veröffentlicht in:IEEE transactions on communications 2009-03, Vol.57 (3), p.597-601
Hauptverfasser: Escribano, F., Kozic, S., Lopez, L., Sanjuan, M.A.F., Hasler, M.
Format: Artikel
Sprache:eng
Schlagworte:
Additive white noise
Algorithm design and analysis
Algorithms
Applied sciences
AWGN
Channel coding
Chaos
Chaos theory
Chaotic communication
Coding, codes
Concatenated codes
concatenated coding
Construction
Convergence
Decoding
Encoding
Error analysis
Exact sciences and technology
Gaussian
Information, signal and communications theory
Modulation coding
Noise
Performance analysis
Signal and communications theory
Telecommunications and information theory
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Beschreibung
Zusammenfassung: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.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2009.03.060520