采用分支度量归一化的高速max-log-MAP turbo SISO解码器实现

J. H. Han, A. Erdogan, T. Arslan
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引用次数: 24

摘要

作者提出了一种基于滑动窗口(SW)方法实现的最大对数最大后验(ML-MAP)算法的turbo软入软出(SISO)解码器。为了提高解码器的速度性能,提出了一种基于分支度量归一化的解码器技术。采用该技术合成了turbo译码器,并使用0.18um标准CMOS单元库对其功耗和面积使用进行了评估。结果表明,虽然功耗和面积使用略有变化,但与传统的SISO解码器架构相比,它可以实现高达58%的加速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High speed max-log-MAP turbo SISO decoder implementation using branch metric normalization
The authors present a turbo soft-in soft-out (SISO) decoder based on max-log maximum a posteriori (ML-MAP) algorithm implemented with sliding window (SW) method. A novel technique based on branch metric normalization is introduced to improve the speed performance of the decoder. The turbo decoder with the proposed technique has been synthesized to evaluate its power consumption and area usage using a 0.18um standard CMOS cell library. It is shown that while power consumption and area usage change slightly with our technique, it achieves up to 58% speed-up compared to a conventional SISO decoder architecture.
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