Improved Normalized Probabilistic Minimum Summation Algorithm for LDPC Decoding
Chenxuan Wang, Cheng-Hung Dixson Lin · 2020
The hardware design of the probabilistic min-sum algorithm can be efficiently realized by group searching. Although it can accelerate calculation and reduce hardware complexity, it degrades error correction capability. Thus, an improved method for simplified min-sum algorithm is proposed in this paper. In order to recover the error correction capability, we apply the accurate first minimum for adjusting the reliability of the probabilistic second minimum. Maintaining the value of the first minimum and proportionally combining the first two minima can flexibly improve the reliability of probabilistic second minimum. Compared with the original simplified min-sum algorithm, the improved method not only gains the efficient hardware design but also obtains the better error correction capability.