基于ce停止准则的低信噪比提前停止涡轮迭代

R. Mohamad, Harlisya Harun, M. Mokhtar, W. Adnan, N. M. Anas, K. Dimyati
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引用次数: 1

摘要

基于交叉熵(ce)的停止准则的优点是能够在高信噪比(SNR)的情况下提前终止,同时保持误码率(BER)性能。遗憾的是,该准则无法处理低信噪比区域,导致解码器迭代到最大迭代或无限迭代。本文提出了一种基于ce的低信噪比停止准则的低信噪比早期终止技术,该技术利用低信噪比可靠性(MOR)测量得到的解码阈值。在仿真结果和分析中,我们比较了所提出的组合方法与现有的基于ce的停止准则的平均迭代次数(AIN)和误码率(BER)性能。结果表明,该组合方法能够在低信噪比下以最小1个信噪比降低信噪比,同时与传统方法一样保持高信噪比下的信噪比。这种显著的减少可以减少现有的基于ce的停止标准的延迟和复杂性,同时保持误码率性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early stopping turbo iteration at low SNR for CE-based stopping criteria
The Cross-Entropy-based (CE-based) stopping criteria advantage is able to terminate early in the high signal-to-noise ratio (SNR) while maintain the bit error rate (BER) performance. Unfortunately, the criteria fails to cope with low SNR region and make the decoder iterates until maximum or infinite iteration. This paper proposed an early termination technique at low SNR for the CE-based stopping criteria using the decoding threshold derived by the measurement of reliability (MOR) at low SNR. In the simulation results and analysis, we compare the average iteration number (AIN) and the bit-error rate (BER) performance between the proposed combination methods with the existing CE-based stopping criteria. From the results, the combination method capable to reduce the AIN at low SNR with minimum one AIN while maintaining the AIN at high SNR as the traditional method. This significant reduction could reduce delay and complexity of existing CE-based stopping criteria while maintaining the BER performances.
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