Low-complexity, Low-memory EMS algorithm for non-binary LDPC codes

In this paper, we propose a new implementation of the EMS decoder for non binary LDPC codes presented in [7]. A particularity of the new algorithm is that it takes into accounts the memory problem of the non binary LDPC decoders, together with a significant complexity reduction per decoding iteration. The key feature of our decoder is to truncate the vector messages of the decoder to a limited number n(m) of values in order to reduce the memory requirements. Using the truncated messages, we propose an efficient implementation of the EMS decoder which reduces the order of complexity to O(n(m) log(2) n(m)), which starts to be reasonable enough to compete with binary decoders. The performance of the low complexity algorithm with proper compensation are quite good with respect to the important complexity reduction, which is shown both with a simulated density evolution approach and actual FER simulations.