Construction of Structured Ldpc Code Based on Correlation Limitation

Channel coding for the next generation communication system needs to support higher data throughput and transmission rate. Due to the inherent parallel feature, low density parity check (LDPC) codes comply with the target. In this paper, we propose a complete channel coding scheme based on structured LDPC codes. In our design, the correlation among different parity check matrices for different code rates is established, meanwhile the correlation between adjacent rows is established, then matrix design should be restricted by these two type defined correlations in order to make great progress in the support of multiple code rates and layered decoding algorithm. Our scheme includes the definition of the four matrices and five constraint features of these matrices, also the benefits of these features are analyzed. Simulation result shows that the performance of the proposed scheme is the same as or a little better than that of 11ad LDPC codes. The proposed LDPC scheme obviously decreases route complexity and increases decoder throughput. So, this scheme is very suitable for high speed decoder with more than 1Gbps throughput in various future communication systems.