改进极化码连续对消译码性能的回溯和前瞻译码算法

Myna Vajha, V. S. C. Mukka, P. V. Kumar
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引用次数: 3

摘要

在[1]中,Arıkan引入了极码,并证明了它们在连续取消解码(SCD)下在对称二进制无内存信道上实现容量。然而,SCD算法中使用的度量不包含未来冻结钻头的信息。在本文中,我们重新审视了SCD算法,并提出了两种译码算法:带反向跟踪的连续对消算法(SC-BT)和带向前看的连续对消算法(SC-LA)。两种算法都试图使用大小为O(N)的内存来提高性能。我们还扩展了SC-LA算法,使其适用于连续取消列表解码(SCLD)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Backtracking and Look-Ahead Decoding Algorithms for Improved Successive Cancellation Decoding Performance of Polar Codes
In [1], Arıkan introduced polar codes and proved that they are capacity achieving over symmetric binary memoryless channels under successive cancellation decoding (SCD). However, the metric used in the SCD algorithm does not incorporate knowledge of future frozen bits. In this paper we take a fresh look at the SCD algorithm and propose two decoding algorithms a) successive cancellation with back-tracking (SC-BT) and successive cancellation with look ahead (SC-LA). Both algorithms try to improve the performance using a memory of size O(N). We also extend the SC-LA algorithm to work with successive cancellation list decoding (SCLD).
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