A comparative study of polar code decoding algorithms

Polar Code is a new efficient coding technology, it is the first channel coding method that can be strictly proven to achieve channel capacity. Polar code as a high-performance error correction code technology, its huge application potential has also cause a strong concer among 5G standardization of communications research and development institutions and academic word. In the case of channel combining and channel separation, channel polarization occurs. When N approaches infinity, the channel capacity of a part of the subchannel approaches 1 and the capacity of the other subchannel approaches 0. In this paper, we introduce the coding schemes and the decoding algorithms of the polar code, and compared the performance of many different decoding algorithms in the additive white Gaussian noise channel. we use MATLAB simulation to analyze the channel capacity of the polar code in the binary crasure channel. And we also make a comparison between systematic polar code and non-systematic polar code. AS well, Polar code performance under different decoding algorithms are simulated. Finally, the development direction of Polar Codes is prospected.