摘要
提出一种基于最小区域选择的LDPC(low-density parity-check)码迭代译码算法(min-zone selection decoding algorithm,MZS decoding).MZS算法把最小区域选择和近似计算的思想结合起来,针对传统的置信度传递译码算法(belief propagation decoding algorithm,BP decoding)中的Q(x)函数提出了一种有效的简化处理方式,而这种简化处理只产生少许的性能损失.仿真结果证明,通过合理的参数设置,MZS算法几乎可以提供和BP算法同样优秀的性能.
An iterative decoding algorithm for low-density parity-check （LDPC） codes, named rain-zone selection （MZS） decoding algorithm, was proposed. The methods of min-zone selecting and approximation were combined in the proposed decoding algorithm in order to deal with the Q（x） function involved in the traditional belief propagation （BP） decoding algorithm. Simulation results show shat the computations in the decoding process of LDPC codes incurred only a little performance degradation. In fact, it is observed that, with proper selection of parameters, the MZS decoding algorithm can provide performance comparable to that of the BP decoding algorithm.
基金
国家自然基金项目(60496314)资助
作者简介
徐鹰，男，1981年生，博士生。研究方向：无线通信．E-mail：xuying@mail．ustc．edu．cn
通讯作者：卫国，博士／教授．E—mail：wei@ustc．edu．cn
