现代信息科技2025，Vol.9Issue(24)：110-114,119,6.DOI:10.19850/j.cnki.2096-4706.2025.24.021
基于循环平稳特性优化的联合算法的盲分离
Blind Source Separation Based on Combined Algorithm by Cyclostationary Characteristics
李敏 1李怀远 2张浩3
作者信息
- 1. 浪潮信息电子产业股份有限公司,山东 济南 250101
- 2. 积成电子股份有限公司,山东 济南 250104
- 3. 浪潮软件集团有限公司,山东 济南 250101
- 折叠
摘要
Abstract
To address the issue of low separation accuracy in Blind Source Separation(BSS)algorithms,a combined BSS algorithm is developed by integrating the Joint Approximate Diagonalization of Eigenmatrices(JADE)and Second-Order Blind Identification(SOBI)algorithms.Furthermore,combined with the advantages of the cyclostationary characteristics in the noise suppression,the cyclic cumulants are introduced into the designed joint algorithm,and a joint algorithm based on the optimization of the cyclostationary characteristics is constructed,which further optimizes the algorithm performance.Simulation results demonstrate that the proposed method can effectively extract the desired signals and outperforms traditional single algorithms in terms of both separation accuracy and convergence speed,indicating strong potential for applications.关键词
盲源分离/联合算法/循环平稳特性/循环累积量Key words
Blind Source Separation/combined algorithm/cyclostationary characteristic/cyclic cumulant分类
信息技术与安全科学引用本文复制引用
李敏,李怀远,张浩..基于循环平稳特性优化的联合算法的盲分离[J].现代信息科技,2025,9(24):110-114,119,6.
