A syndrome-based hybrid decoder for turbo product codes

We presents a hybrid decoder, which adopts a soft-input soft-output or a hard-input soft-output scheme to decode a row/column vector in each iteration for iterative decoding a turbo product code, based on the syndrome of the row/column vector. Simulation results demonstrate that the decoding complexity can be effectively reduced and the bit-error rate can be improved slightly, compared with a conventional TPC decoder in both serial and parallel decoding manners.