多径衰落信道下基于循环累积量的调制分类算法

针对多径衰落信道，通过利用各阶循环累积量来对常见单载波信号进行调制分类。首先分析推导了在多径衰落信道下模拟和数字单载波信号一阶、二阶和四阶的循环累积量特征，寻找出不同信号在特定循环累积量下的谱峰特征的区别，最后利用CAFR检测算法通过树形判决完成信号的调制分类。通过理论推导和仿真分析，验证了算法在多径衰落信道下调制分类的可行性和抗噪声性能。算法不需要信号的先验知识，在多径衰落信道下性能鲁棒，适用场合较广。 

The Identification Classification Algorithm Based on Cyclic Statistics in Multipath Fading Channel

For multipath fading channels, the modulation of common single-carrier signals are classified through the use of the order Cyclic Cumulants. The analysis and derived of fist order, second-and fourth-order cycles statistical features of a variety of single-carrier signal in multipath fading channels, and looking for characteristic difference in the statistical characteristics of the particular cycle peaks distinction ,last complete signal modulation classification using CAFR detection algorithm through the tree judgment. Verify the feasibility of the algorithm in multipath fading channel modulation classification by theoretical analysis and simulation analysis. The algorithm does not require a priori knowledge of the signal, has the robust performance in multipath fading channel and a wider application of occasions.