A low-latency turbo decoding scheme for diversities-based communication systems

Shen-Ming Chung, Ming-Der Shieh, Lung-Chih Kuo, Hsiao-Hui Lee
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Abstract

Due to the superior error correction performance, Turbo Code has become one of the best choices to deal with errors induced from high-noise communication channels. Nevertheless, to achieve such a superior performance, it needs to repeat a probabilistic decoding operation over each corrupted data block for several times and thus exhibits considerable decoding latency. A decoding latency as such may forbid possible cost reduction on designing a communication receiver, especially when a strict round-trip latency is specified. This paper proposed a Turbo Decoding scheme which benefits from the diversity characteristic provisioned by some communication systems, and thus is able to efficiently reduce required decoding latency thereof. To verify the performance, the popular Max-Log-MAP algorithm has been cascaded with the proposed scheme and is simulated with a range of AWGN conditions. Possible alternatives to the proposed scheme are also presented while the trends of the resource utilization and the BER performance are presented and discussed. As the experimental result shows, the proposed Turbo decoding schemes can introduce at least 4x latency reduction comparing to the traditional scheme, while preserving an adequate decoding performance.
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基于分集的通信系统的低延迟turbo解码方案
Turbo码由于其优越的纠错性能,已成为处理高噪声通信信道误差的最佳选择之一。然而,为了达到如此优异的性能,它需要对每个损坏的数据块重复概率解码操作多次,因此显示出相当大的解码延迟。这样的解码延迟可能会阻碍通信接收器设计成本的降低,特别是当指定了严格的往返延迟时。本文提出了一种Turbo译码方案,利用某些通信系统提供的分集特性,有效地降低了通信系统所需的译码延迟。为了验证性能,将流行的Max-Log-MAP算法与所提出的方案级联,并在一系列AWGN条件下进行了仿真。本文还提出了可能的替代方案,并对资源利用率和误码率性能的趋势进行了介绍和讨论。实验结果表明,与传统方案相比,所提出的Turbo解码方案可以在保持足够解码性能的同时将延迟降低至少4倍。
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