一种改进的简化极化码连续消列译码

Yu Guo, Shufeng Li, Mingyu Cai
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引用次数: 0

摘要

连续消去列表(SCL)算法是一种常用的极化码译码算法。虽然SCL算法克服了极化码译码中的错误传播问题,但纠错性能的提高需要付出高延迟的代价。为了解决这一问题,提出了一种简化的SCL (SSCL)算法。对于一些特殊节点,SSCL算法无需遍历解码树即可计算路径度量(PM),实现直接解码,降低了解码的延迟和复杂度。本文发现了一种新的特殊节点,使得无需遍历解码树即可计算PM成为可能。在此基础上,提出了一种改进的SSCL算法。仿真结果表明,改进的SSCL算法可以进一步降低译码延迟,纠错性能的损失可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Simplified Successive-Cancellation List Decoding of Polar Codes
The Successive-Cancellation List (SCL) algorithm is a popular decoding algorithm for polar codes. Although SCL algorithm overcomes the error propagation problem in polar codes decoding, the improvement of error correction performance needs to pay the price of high latency. To solve this problem, a simplified SCL (SSCL) algorithm is proposed. For some special nodes, the SSCL algorithm can calculate path metric (PM) without traversing the decoding tree to achieve direct decoding, reducing the latency and complexity of decoding. In this paper, a new special node has been discovered, it is also possible to calculate PM without traversing decoding tree. Based on this, we propose an improved SSCL algorithm. Simulation results show that improved SSCL algorithm can further reduce the decoding latency and the loss of error-correction performance is negligible.
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