Title :
Reduced-complexity extended Min-sum check node processing for non-binary LDPC decoding
Author :
Zhang, Xinmiao ; Cai, Fang
Abstract :
Non-binary low-density parity-check (NB-LDPC) codes can achieve higher coding gain than binary LDPC codes when the code length is moderate at the cost of higher complexity. One major step of NB-LDPC decoding is check node processing. Previously, iterative forward-backward approaches are employed to implement this step. However, the storage of the intermediate results of the forward and backward computations requires large memory. In this paper, a novel check node processing scheme and corresponding VLSI architectures are proposed for the extended Min-sum NB-LDPC decoding. The proposed scheme only stores a limited number of sorted variable-to-check messages. Then the check-to-variable messages for different variable node are generated independently. For a (837, 726) NB-LDPC code over GF(25), the proposed architecture only requires 64% of the area of the previous design with the same throughput and error-correcting performance.
Keywords :
decoding; error correction codes; parity check codes; VLSI architectures; error-correcting; iterative forward-backward approaches; low-density parity-check codes; nonbinary LDPC decoding; reduced-complexity extended min-sum check node processing; variable-to-check messages; Belief propagation; Computer architecture; Costs; Galois fields; Iterative decoding; Iterative methods; Medical services; Parity check codes; Throughput; Very large scale integration;
Conference_Titel :
Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-7771-5
DOI :
10.1109/MWSCAS.2010.5548712