摘要
将高阶累计量与JADE算法相结合,利用高阶统计量能辨识非最小相位系统和JADE算法比SVD收敛性好的特点,提出了一种在频域对MIMO系统进行辨识和信号分离的算法。在满足信号间相互独立的情况下,采用互四阶累计量解决了排序问题,仿真实验表明了该方法的有效性。
Combining higher order statistics that can identify non-minimum phase system with JADE algorithm which is better than SVD in convergence, an algorithm was proposed to identify and separate mixed sources for MIMO system in frequency domain. Under the condition that the sources are independent from each other, the permutation problem was solved by using cross fourth-order statistics. Simulations show that the proposed algorithm is feasible and practical.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2007年第6期1436-1440,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
吉林省科技厅杰出青年科学研究计划基金资助项目(吉科合字第20010120号)
关键词
信息处理技术
MIMO系统
高阶统计量
信号分离
information processing technology
MIMO system
higher order statistics
source separation
