Optimized Message Passing Schedules for LDPC Decoding
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Abstract
The major drawback of the LDPC codes versus the
turbo-codes is their comparative low convergence speed: 25-30
iterations vs. 8-10 iterations for turbo-codes. Recently, Hocevar
showed by simulations that the convergence rate of the LDPC
decoder can be accelerated by exploiting a â turbo-schedulingâ
applied on the bit-node messages (rows of the parity check
matrix). In this paper, we show analytically that the convergence
rate for this type of scheduling is about two times increased
for most of the regular LDPC codes. Second we prove that
â turbo-schedulingâ applied on the rows of the parity check matrix
is identical belief propagation algorithm as standard message
passing algorithm. Furthermore, we propose two new message
passing schedules: 1) a turbo-scheduling is applied on the checknode
messages (columns of the parity check matrix); 2) a hybrid
version of both previous schedules where the turbo-effect is
applied on both check-nodes and bit-nodes. Frame error rate
simulations validate the effectiveness of the proposed schedules.
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Citation
P. Radosavljevic, A. de Baynast and J. R. Cavallaro, "Optimized Message Passing Schedules for LDPC Decoding," 2005.