摘要
串行抵消列表(SCL)算法是极化码的一种近似最大似然(ML)译码算法,基于该算法的循环冗余校验(CRC)级联极化码、校验(PCC)级联极化码纠错性能优良,已成为5G极化码标准编码方案。总结了SCL译码错误类型,并从降低SCL译码错误的角度揭示了CRC级联极化码、PCC级联极化码,以及CRC辅助的PCC级联极化码,三者提升SCL译码性能的原理。仿真结果表明:CRC辅助的校验级联极化码可以显著降低SCL译码错误,并在较高信噪比(SNR)范围内,呈现出最佳的纠错性能。
Successive cancellation list(SCL) decoder with the proper list size works nearly as a maximum likelihood(ML) decoder for polar codes. With the modified versions of the SCL decoder, cyclic redundancy check(CRC)-concatenated polar codes(CRC-polar) and parity-check-concatenated(PCC) polar codes(PCC-polar) show the excellent error correction performance, and have been adopted as the standardized coding schemes in5 G technical specification. In this paper, the categories of SCL decoding errors are summarized, and the performance gain of the CRC-polar, PCC-polar and CRC-PCC polar are explained from the perspective of SCL decoding error reduction. The simulation results show that the CRC-PCC polar code could efficiently reduce the SCL decoding errors, and achieve the best error performance among the three concatenation schemes, in higher signal noise ratio(SNR) region.
引文
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