An Improved Method for Identification of LDPC Codes Within a Candidate Set

Liu, Qian; Zhang, Hao; Yu, Peidong; Wang, Gang

doi:10.1109/access.2020.3043231

Cited by 3 publications

(5 citation statements)

References 19 publications

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“…Although the five synchronization algorithms presented close performance, the LD based method showed to be the most efficient one. Note that in [12], the authors showed that the TP based codes recognition algorithm presented improved performance for codes with high rates. However, it can be clearly seen in Fig.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [12], the authors proposed to used the average Taylor Polynomial (TP) of the syndrome to perform codes recognition. When compared with other blind codes identification methods, the success rate of the TP based identification method is improved for the encoders with high rates [12]. In this paragraph, we propose to apply the Taylor Polynomial (TP) method to our frame synchronization problem.…”

Section: The Sum Of the Cosine Conformitymentioning

confidence: 99%

“…In this letter we propose new algorithms of blind frame synchronization, in which we propose to replace the LLR of the syndrome used in [6] by other alternatives, namely the Sum-Product (SP), the Cosine Conformity (CC), the Taylor Polynomiol (TP) and the Likelihood Difference (LD) expressions. The functions of the CC, TP and LD were used in [10], [11], [12] to solve the problem of blind recognition of LDPC codes. In this letter, we will use these functions to implement new blind frame synchronization techniques and apply them to LDPC codes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On Blind Frame Synchronization of LDPC Codes

Imad

Houcke

2021

IEEE Commun. Lett.

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We consider in this letter the problem of blind frame synchronization of Low Density Parity-Check (LDPC) codes. We present and compare new methods of blind frame synchronization based on the calculation of Likelihood functions of the syndrome. Simulation results show that the four proposed synchronization techniques are effective once applied to LDPC codes. The method that involves the maximization of the Likelihood Difference (LD) function of the parity-checks, presents the best results in terms of probability of false synchronization.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: The Sum Of the Cosine Conformitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On Blind Frame Synchronization of LDPC Codes

Imad

Houcke

2021

IEEE Commun. Lett.

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“…In [9][10][11], the authors used a function of the likelihood difference (LD) to solve the problem of blind recognition of LDPC codes. This function was also used in [12] for the blind frame synchronization of LDPC-coded systems.…”

Section: Proposed Algorithm Of Blind Phase Offset Estimationmentioning

confidence: 99%

“…The algorithm proposed in [6] involved the minimization of cost functions, which were based on log-likelihood ratios (LLRs), and obtained from the parity-check matrix of the error-correcting code used in the system. In [9][10][11], the authors solved the problem of blind recognition of LDPC codes by using a function of the likelihood difference (LD). A similar function was used in [12] to deal with the problem of frame synchronization of LDPC codes.…”

Section: Introductionmentioning

confidence: 99%

Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm

Imad

Houcke

2023

EURASIP J. Adv. Signal Process.

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The problem of blind phase offset recovery of low density parity-check (LDPC)-coded systems is considered in this paper. We propose a new algorithm of phase offset estimation that involves the computation and maximization of a likelihood difference (LD)-based cost function calculated from the parity-check matrix of the code. We show in this paper that the new cost function has a simplified form compared to another algorithm proposed in the literature and presents similar estimation performance. Mean squared error (MSE) curves show very good performance of the proposed phase offset estimation algorithm, even at low signal-to-noise ratios.

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An Improved Method for Identification of Polar Codes Based on Soft Decision Sequence

Wang

Feng

2022

2022 IEEE 8th International Conference on Computer and Communications (ICCC)

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An Improved Method for Identification of LDPC Codes Within a Candidate Set

Cited by 3 publications

References 19 publications

On Blind Frame Synchronization of LDPC Codes

On Blind Frame Synchronization of LDPC Codes

Carrier phase recovery of LDPC-coded systems based on the likelihood difference algorithm

An Improved Method for Identification of Polar Codes Based on Soft Decision Sequence

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