移动通信2024，Vol.48Issue(7)：116-121,6.DOI:10.3969/j.issn.1006-1010.20240515-0001
NOMA系统下基于高阶累积量的叠加信号调制识别
Modulation Classification of Superimposed Signal in NOMA Systems Based on High-order Cumulants
段婷玮1
作者信息
- 1. 北京跟踪与通信技术研究所(BITTT),北京 100000
- 折叠
摘要
Abstract
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.关键词
调制识别/NOMA系统/叠加信号/高阶累积量Key words
modulation classification/NOMA systems/superposed signals/high-order cumulants分类
信息技术与安全科学引用本文复制引用
段婷玮..NOMA系统下基于高阶累积量的叠加信号调制识别[J].移动通信,2024,48(7):116-121,6.
