改进的极性码软抵消译码

Ming-Chan You, Zhifeng Ma
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引用次数: 0

摘要

极性码的软对消译码比信念传播译码具有更低的计算时间和空间复杂度,具有更好的译码性能。但由于软抵消译码是基于逐次抵消译码,因此可以进一步提高有限长度分组的译码效率和性能。利用逐次消去表译码的思想,可以从两个方面改进软消去译码:一是在易出错的信息位上增加分支译码,提高软信息的精度;二是采用部分迭代译码,减少译码时间和计算复杂度。与原方法相比,改进后的软对消译码在纠错性能上取得了进步,提高了译码效率,降低了计算复杂度,但代价是空间复杂度略有增加。
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Improved Soft Cancellation Decoding of Polar Codes
The soft cancellation decoding of polar codes achieves a better performance than the belief propagation decoding with lower computational time and space complexities. However, because the soft cancellation decoding is based on the successive cancellation decoding, the decoding efficiency and performance with finite-length blocks can be further improved. Exploiting the idea of the successive cancellation list decoding, the soft cancellation decoding can be improved in two aspects: one is by adding branch decoding to the error-prone information bits to increase the accuracy of the soft information, and the other is through using partial iterative decoding to reduce the time and computational complexities. Compared with the original method, the improved soft cancellation decoding makes progress in the error correction performance, increasing the decoding efficiency and reducing the computational complexity, at the cost of a small increase of space complexity.
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