In this paper, we propose a binary message-passing algorithm for decoding low-density parity-check (LDPC) codes. The algorithm substantially improves the performance of purely hard-decision iterative algorithms with a small increase in the memory requirements and the computational complexity. We associate a reliability value to each nonzero element of the code's parity-check matrix, and differentially modify this value in each iteration based on the sum of the extrinsic binary messages from the check nodes. For the tested random and finitegeometry LDPC codes, the proposed algorithm can perform as close as about 1 dB and 0.5 dB to belief propagation (BP) at the error rates of interest, respectively. This is while, unlike BP, the algorithm does not require the estimation of channel signal to noise ratio. Low memory and computational requirements and binary message-passing make the proposed algorithm attractive for high-speed low-power applications.

Additional Metadata
Keywords Binary message-passing decoding, Hard-decision decoding, Iterative decoding, Low-density parity-check (LDPC) codes, Soft-decision decoding, Successive relaxation
Persistent URL dx.doi.org/10.1109/TCOMM.2009.09.070617
Journal IEEE Transactions on Communications
Citation
Mobini, N. (Nastaran), Banihashemi, A, & Hemati, S. (Saied). (2009). A differential binary message-passing LDPC decoder. IEEE Transactions on Communications, 57(9), 2518–2523. doi:10.1109/TCOMM.2009.09.070617