Abstract:In deep space communications, the Low Density Parity Check(LDPC) Codes decoding based on DVB-S2(Second Generation Satellite Digital Video Broadcasting Standard) must meet the requirements of low complexity, high flexibility and universal aspects. This paper presents a methodology to design a dynamic adaptive quantitative structure based on studying the quantitative structure of LDPC decoding. Based on conventional uniform quantization of the hardware, a dynamic adaptive quantization structure for data information initialization and iteration decoding of modified Min-Sum decoding algorithm is proposed, which reduces the complexity imbalance between the check node processing units and variable node processing units, therefore, improves the decoding performance of the decoder. Experiments show that, for the DVB-S2 standard LDPC code with code length of 16 200 and rate of 1/2, the proposed dynamic adaptive quantization structure saves 4% hardware resources compared with the conventional adaptive quantization structure. In addition, the dynamic adaptive quantization structure supports dynamic configuration functions, which ensures the flexibility and universality of LDPC decoder.