Optimization of SNGDBF Decoding for LDPC Codes Parameters Based on Taguchi Method

Ouakili, Hajar El; Alami, Rachid El; Mehdaoui, Younes; Chenouni, Driss; Lakhliai, Zakia

doi:10.1007/978-981-16-5559-3_41

Cited by 2 publications

(1 citation statement)

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“…They are generally iterative and based on information exchanged between the variable and check nodes. Indeed, many worldwide wireless application researchers have been drawn to the LDPC codes because of their importance in communication standards [1]. The min-sum (MS) algorithm is obtained by simplifying the check node processing of the sum-product (SP) algorithm, which also gives good results, and they belong to the soft decision algorithm which is based on the "extrinsic log likelihood ratio (LLRs) [2]- [6].…”

Section: Introductionmentioning

confidence: 99%

New low-density-parity-check decoding approach based on the hard and soft decisions algorithms

Ouakili

Touati

Kadi

et al. 2023

IJECE

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<span lang="EN-US">It is proved that hard decision algorithms are more appropriate than a soft decision for low-density parity-check (LDPC) decoding since they are less complex at the decoding level. On the other hand, it is notable that the soft decision algorithm outperforms the hard decision one in terms of the bit error rate (BER) gap. In order to minimize the BER and the gap between these two families of LDPC codes, a new LDPC decoding algorithm is suggested in this paper, which is based on both the normalized min-sum (NMS) and modified-weighted bit-flipping (MWBF). The proposed algorithm is named normalized min sum- modified weighted bit flipping (NMSMWBF). The MWBF is executed after the NMS algorithm. The simulations show that our algorithm outperforms the NMS in terms of BER at 10-8 over the additive white gaussian noise (AWGN) channel by 0.25 dB. Furthermore, the proposed NMSMWBF and the NMS are both at the same level of decoding difficulty.</span>

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Section: Introductionmentioning

confidence: 99%