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China Communications

Fast Weighted Bit Flipping Algorithm for Higher-Speed Decoding of Low-Density Parity-Check Codes

Ma, Kexiang, LI ., Yong-zhao, Zhang, Hailin

Published Jan 1, 2013• 0 citations
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Fast weighted bit flipping algorithm for higher-speed decoding of Low-Density Parity-Check codes

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Because of the speed limitation of the conventional bit-selection strategy in the existing weighted bit flipping algorithms, a high-speed Low-Density Parity-Check (LDPC) decoder cannot be realised. To solve this problem, we propose a fast weighted bit flipping algorithm. Specifically, based on the identically distributed error bits, a parallel bit-selection method is proposed to reduce the selection delay of the flipped bits. The delay analysis demonstrates that, the decoding speed of LDPC codes can be significantly improved by the proposed algorithm. Furthermore, simulation results verify the validity of the proposed algorithm.

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Yuan Hua Liu, Mei Ling Zhang

A novel bit-flipping (BF) algorithm with low complexity for high-throughput decoding of low-density parity-check (LDPC) codes is presented. At each iteration, a novel threshold pattern is used to determine the code bits whether to be flipped or not, and the flipping error probability is effectively decreased. Compared with the weighted BF algorithm and its modifications, the modified BF algorithm has significantly lower complexity and decoding time. Through simulations the proposed BF algorithm is shown to achieve excellent performance and fast convergence speed while maintaining significantly low complexity thus facilitating high-throughput decoding.

Advanced materials research•Jun 1, 2013•0 citations
Because of the speed limitation of the conventional bit-selection strategy in the existing weighted bit flipping algorithms, a high-speed Low-Density Parity-Check (LDPC) decoder cannot be realised. To solve this problem, we propose a fast weighted bit flipping algorithm. Specifically, based on the identically distributed error bits, a parallel bit-selection method is proposed to reduce the selection delay of the flipped bits. The delay analysis demonstrates that, the decoding speed of LDPC codes can be significantly improved by the proposed algorithm. Furthermore, simulation results verify the validity of the proposed algorithm.
Abstract- Low Density Parity Check (LDPC) codes can be decoded in various ways, namely the Bit-Flipping (BF) algorithm, the Weighted BF algorithm (WBF) ， the Belief Propagation (BP) algorithm and so on. These algorithms provide a wide range of tradeoffs among decoding complexity, decoding speed, and error rate performance. In this paper, a novel self-reliability-based weighted bit-flipping decoding scheme for low-density parity-check codes is proposed. Improvement in performance is observed in comparison with the modified weighted bit-flipping decoding scheme, and the decoding complexity can be significantly reduced as well. Key-Words:- Low-density parity-check (LDPC) codes, decoding algorithm, bit flipping, self reliability
A novel bit-flipping (BF) algorithm with low complexity for high-throughput decoding of low-density parity-check (LDPC) codes is presented. At each iteration, a novel threshold pattern is used to determine the code bits whether to be flipped or not, and the flipping error probability is effectively decreased. Compared with the weighted BF algorithm and its modifications, the modified BF algorithm has significantly lower complexity and decoding time. Through simulations the proposed BF algorithm is shown to achieve excellent performance and fast convergence speed while maintaining significantly low complexity thus facilitating high-throughput decoding.