Abstract：In Communication systems, code rates are usually adapted to different channel environment, while puncturing is an effective solution to this strategy. Based on Gaussian approximation, the message-passing decoding algorithm for punctured Low-Density Parity-Check (LDPC)codes on Additive White Gaussian Noise (AWGN) channel is analyzed, as well as the recursive function for message mean is derived. According to this function, a novel design approach is proposed for optimizing the puncturing distributions. Simulation results demonstrate that not only the message mean of message-passing decoder increases more quickly for punctured LDPC optimized by the proposed approach, but also the convergence rate of message-passing decoder is faster than that by traditional approaches.
2007, Vol. 29 
