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An Efficient Early Iteration Termination for Turbo Decoder

Publication Type : Journal Article

Publisher : Journal of Telecommunications and Information Technology, p.113-122 and 112

Source : Journal of Telecommunications and Information Technology, p.113-122 and 112 (2016)

Url : https://www.semanticscholar.org/paper/An-Efficient-Early-Iteration-Termination-for-Turbo-Salija-Yamuna/ad823fa25c31171d754b88ef579d519c5e476f8b

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2016

Abstract : Turbo code finds wide applications in mobile communication, deep space communication, satellite communication and short-range communication despite its high computational complexity and iterative nature. Realizing capacity approaching turbo code is a great achievement in the field of communication systems due to its efficient error correction capability. The high computational complexity associated with the iterative process of decoding turbo code consumes large power, introducing decoding delay, and reducing the throughput. Hence, efficient iteration control techniques are required to make the turbo code more power efficient. In this paper, a simple and efficient early iteration termination technique is introduced based on absolute value of the mean of extrinsic information at the component decoders of turbo code. The simulation results presented clearly show that the proposed method is capable of reducing the average number of iterations while maintaining performance close to that of fixed iteration termination. The significant reduction in iteration achieved by the method reduces decoding delay and complexity while maintaining Bit Error Rate performance close to standard fixed iteration turbo decoder. Keywords—early termination, complexity reduction, mean of extrinsic information, turbo decoder.

Cite this Research Publication : Dr. Salija P. and Dr. Yamuna B., “An Efficient Early Iteration Termination for Turbo Decoder”, Journal of Telecommunications and Information Technology, pp. 113-122 and 112, 2016.

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