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Channel-Aware Gradient Descent Bit-Flipping Algorithm for LDPC Codes
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DOI：10.1109/LCOMM.2025.3543897.png)
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Abstract
En 中文
The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm. In this letter, we propose a channel-aware GDBF-w/M algorithm which operates deterministically based on the received values from the additive white Gaussian noise (AWGN) channel. Numerical results show that the proposed algorithm does not only mitigate the error-floor phenomenon of the GDBF-w/M algorithm, but it also has better decoding performance than the PGDBF-w/M algorithm without the need for a random number generator. Furthermore, the complexity of the proposed algorithm is slightly higher than that of the GDBF-w/M algorithm.
Keywords:
Decoding
Probabilistic logic
Iterative decoding
Vectors
AWGN channels
Indexes
Training
Reliability
Optimization
Maximum likelihood decoding
LDPC codes
bit-flipping algorithm
decoding algorithms
Journal
IF:
4.4
Papers:
1.3W
Citations:
2.2W
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