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IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops
An Efficient Soft-Input Scaling Scheme for Turbo Decoding
Taichung, Taiwan
June 05-June 07
ISBN: 0-7695-2553-9
Yi-Nan Lin, Ming-Chi Univ. of Tech., Taipei, Taiwan
Wei-Wen Hung, Ming-Chi Univ. of Tech., Taipei, Taiwan
Wei-Chen Lin, Ming-Chi Univ. of Tech., Taipei, Taiwan
Tsan-Jieh Chen, Ming-Chi Univ. of Tech., Taipei, Taiwan
Erl-Huei Lu, Chang-Gung Univ. Taoyuan, Taiwan
As the number of iterations increases, the soft inputs and outputs of a turbo decoder gradually become more reliable. To take the effect into account, this paper presents an efficient adaptive scaling scheme for turbo decoding that extends the sign difference ratio (SDR) technique. Unlike the conventional approach using a fixed set of scaling factors, it adaptively determines the scaling factor for each data block. Simulation results show that the proposed scaling scheme can reduce up to 1 4 ~ 1 2 iteration when compared to the existing stopping criteria while achieving 0.1 ~ 0.2 dB coding gain improvement on average.
Index Terms:
Turbo decoder, adaptive scaling scheme, sign difference ratio (SDR) technique, coding gain improvement.
Citation:
Yi-Nan Lin, Wei-Wen Hung, Wei-Chen Lin, Tsan-Jieh Chen, Erl-Huei Lu, "An Efficient Soft-Input Scaling Scheme for Turbo Decoding," sutc, vol. 2, pp.252-255, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops, 2006
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