An Improved Method for Identification of Polar Codes Based on Soft Decision Sequence
Xiwen Wang, Man Feng, Fang Di · 2022
As a coding scheme in 5G scenario, polar codes have good performance. At present, there is less research on the identification of polar codes. This paper proposes an improved identification method based on soft decision sequence, which skips the channel with the worst reliability when calculating the threshold and the average log-likelihood ratio (LLR). The theoretical derivation and simulation experiments verify the effectiveness of the improved method. Simulation results indicate that the improved method performs well under low signal-to-noise ratio (SNR) and outperforms the existing soft-decision method.