Iterative code-aided ML phase estimation and phase ambiguity resolution
EURASIP Journal on Applied Signal Processing
Blind frame synchronization for error correcting codes having a sparse parity check matrix
IEEE Transactions on Communications
Code-aided frame synchronization and phase ambiguity resolution
IEEE Transactions on Signal Processing
Pilotless Frame Synchronization for LDPC-Coded Transmission Systems
IEEE Transactions on Signal Processing - Part I
Frame Synchronization for Variable-Length Packets
IEEE Journal on Selected Areas in Communications
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We have recently proposed in [1] a blind frame synchronization method based on a Maximum A Posteriori (MAP) approach. In this letter, we study the properties of this method and show that this synchronization technique is well suitable for codes having a sparse parity check matrix, such as Low-Density Parity-Check (LDPC) codes. We also find the probability distributions involved in our synchronization criterion and expand the analytical expression of the probability of false synchronization. Through computer simulations we validate our theoretical results and show that this synchronization technique has excellent performance when applied to LDPC codes. We also show that this method outperforms another approach of blind frame synchronization that computes hard values of the syndrome instead of its Log-Likelihood Ratios (LLR).