Blind frame synchronization for error correcting codes having a sparse parity check matrix

We present in this letter a blind frame synchronization method based on a maximum a posteriori probability (MAP) approach. Applied to coded communication systems, this method is based on the calculation of the log-likelihood ratios (LLR) of the syndrome obtained according to the parity check matrix of the code. After presenting the proposed method, we compare it to an existing blind synchronization method previously introduced. Simulation results show that the proposed method outperforms the existing one and presents good performance when applied to codes having a sparse parity check matrix such as low density parity check (LDPC) codes and convolutional codes.