An Improved Bit Flipping Min Sum Algorithm with Difference to Sum Ratio Factor Based on Unreliable Received Messages

Low density parity-check (LDPC) codes is known for its outstanding performance near the Shannon limit. In this paper, an improved min sum algorithm with difference to sum ratio factor (DSR-MS) is proposed, which is called bit flipping min sum algorithm with DSR factor based on unreliable received me...

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Bibliographic Details
Published in:Proceedings (International Conference on Communication Technology. Online) pp. 1582 - 1586
Main Authors: Qiu, Mingchun, Zhang, Zhi, Huang, Yuzhen
Format: Conference Proceeding
Language:English
Published: IEEE 28.10.2020
Subjects:
Convergence
Decoding
DSR-MS
hybrid decision
Iterative decoding
LDPC
Sparse matrices
Switches
Telecommunications
Timing
ISSN:2576-7828
Online Access:Get full text
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Summary:Low density parity-check (LDPC) codes is known for its outstanding performance near the Shannon limit. In this paper, an improved min sum algorithm with difference to sum ratio factor (DSR-MS) is proposed, which is called bit flipping min sum algorithm with DSR factor based on unreliable received messages (DSR-URMBFMS). It belongs to the hybrid decision decoding scheme. A novel assistant stage associated with the bit flipping (BF) algorithm is introduced after each failed iteration of DSR-MS, and the sequence with minimum sum of syndrome vector (SSV) is taken as the final decoding output. Simulation results show that the proposed algorithm achieves faster convergence rate and better performance than the DSR-MS algorithm.
ISSN:2576-7828
DOI:10.1109/ICCT50939.2020.9295903