Improving Belief Propagation List Decoding of Polar Codes by Post-Processing

CRC-aided belief propagation list (CBPL) is a low latency, high throughput decoder for polar codes. In this work, it is shown that CBPL decoding of polar codes over the additive white Gaussian noise channel can be substantially improved using ordered statistics post-processing that only requires a very low reprocessing order (e.g., order one). We present efficient implementations of the ordered statistics post-processing with a trade-off between computational complexity and error rate.