Self-Superposition Transmission: A Novel Method for Enhancing Performance of Convolutional Codes
Shuangyang Li, Ji Zhang, Baoming Bai, Xiao Ma, Jinhong Yuan · 2018
In this paper, a novel method for enhancing the error performance of convolutional codes (CCs) is introduced. This method aims to extend the constraint length of CCs by simply superimposing the encoded bit sequences. Therefore, such construction is referred to as self-superposition. The encoding process of self-superposition convolutional codes (SSCCs) can be implemented as fast as that of the corresponding CCs, and a low-complexity iterative decoding algorithm can be applied to efficiently decode SSCCs. Numerical results show that in the high signal-to-noise ratio (SNR) region, the SSCC outperforms the corresponding CC within a wide range of code rates in terms of the bit error rate.