NOMA系统下基于高阶累积量的叠加信号调制识别OA

In order to solve the problem of signal modulation classification in non-orthogonal multiple access systems,a modulation classification algorithm based on high-order cumulants is proposed by using the characteristics of high-order cumulants,which mainly includes feature extraction,probability density function construction and signal classification.Simulation results show that,compared with the existing algorithm,the proposed modulation classification algorithm based on high-order cumulants can effectively improve the system recognition performance under medium to low SNR.Finally,the complexity of the algorithm proposed is calculated using floating-point numbers.The results show that the complexity of the proposed algorithm is significantly reduced compared to traditional maximum likelihood detection algorithms,proving the effectiveness of the algorithm.