Finite Alphabet Iterative Decoders, Part II: Improved Guaranteed Error   Correction of LDPC Codes via Iterative Decoder Diversity
  Recently, we introduced a new class of finite alphabet iterative decoders (FAIDs) for low-density parity-check (LDPC) codes. These decoders are capable of surpassing belief propagation in the error floor region on the Binary Symmetric channel with much lower complexity. In this paper, we introduce a a novel scheme to further increase the guaranteed error correction capability from what is achievable by a FAID on column-weight-three LDPC codes. The proposed scheme uses a plurality of FAIDs which collectively correct more error patterns than a single FAID on a given code. The collection of FAIDs utilized by the scheme is judiciously chosen to ensure that individual decoders have different decoding dynamics and correct different error patterns. Consequently, they can collectively correct a diverse set of error patterns, which is referred to as decoder diversity. We provide a systematic method to generate the set of FAIDs for decoder diversity on a given code based on the knowledge of the most harmful trapping sets present in the code. Using the well-known column-weight-three $(155,64)$ Tanner code with $d_{min}$ = 20 as an example, we describe the method in detail and show that the guaranteed error correction capability can be significantly increased with decoder diversity. 
David Declercq, Bane Vasic, Shiva Kumar Planjery, and Erbao Li
cs.IT math.IT