On Blind Frame Synchronization of LDPC Codes

Imad, Rodrigue; Houcke, Sébastien

doi:10.1109/lcomm.2021.3102662

Cited by 6 publications

(3 citation statements)

References 17 publications

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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%

“…Our target is to find For this, the partial derivatives of L LD R ( θ) and L LD I ( θ) should be first computed. In (12), we consider K = 1 and omit σ 2 since it will not affect our maximization problem as stated earlier in this paper. We get:…”

Section: Appendixmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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