摘要
通过对观测样本进行非线性变换,提出了一种基于高阶累积量分级调制分类算法,有效解决了频偏引起的相位旋转问题。仿真表明,在归一化频偏小于0.2时,算法具有较好的分类性能。理论分析和仿真结果均证明了算法的正确性和有效性。
By the non - linear transformation to the observation sample, a higher - order cumulants based hierarchical modulation classification algorithm is presented. The effect of frequency offsets on the performance of the hierarchical algorithm is eliminated by the transformation. The efficiency of the proposed classification algorithm is verified via theoretical analysis and extensive simulations. The simulations show that the algorithm presents better performance as the normalized frequency is less than 0.2.
出处
《电讯技术》
北大核心
2011年第7期47-49,共3页
Telecommunication Engineering
关键词
调制分类
高阶累积量
频偏
分类性能
modulation classification
higher - order cumulants
frequency offsets
classification performance
