中文摘要：

度分布是Lubylransform（LT）码性能优劣的关键指标，为得到更优的度分布结构，提出一种基于蚁群算法的LT码度分布优化方法．将蚁群算法与蒙特卡洛仿真结合，以仿真结果的特定统计参数作为优化目标值，通过蚁群算法的搜索，得到优化的度分布值．通过仿真实验对比测试优化后度分布的实际译码性能，证实了该方法能得到满足以蒙特卡洛仿真统计参数为优化目标的度分布．

英文摘要：

The degree distribution is key index to evaluate the performance of Luby transform （LT） codes. In order to obtain a better degree distribution, a degree distribution optimization method is proposed. By using ant colony algorithm and Monte Carlo simulations, some statistical parameters are selected as optimization target values. By searches of ant colony algorithm, optimized degree distribution could be derived. Compared with the actual decoding performance of optimized degree distribution according to simulations, the effectiveness is confirmed that can achieve the optimization target values by statistical parameters from Monte Carlo simulations.