噪声与振动控制2011，Vol.31Issue(3)：19-23,5.DOI:10.3969/j.issn.1006-1355-2011.03.005
改进的二阶统计量盲分离算法
Research of Improved Algorithm for Blind Source Separation Based on Second-order Statistics
吕淑平 1方兴杰1
作者信息
- 1. 哈尔滨工程大学自动化学院,哈尔滨150001
- 折叠
摘要
Abstract
It is known that using non-stationary and structural characteristics of signal timing of the second-order statistics (different time-delay correlation matrix) can roughly estimate the instantaneous linear-mixture blind-source signal.With the increasing of time delay τ, only using single delay covariant equalization will ignore the time-varying characteristics of the signal, so that the performance of algorithm may not be ensured.Through the analysis of average characteristics of matrix, the improved algorithm for blind source separation based on the second-order statistics is presented in this paper.Segmenting a set of equalized delay-related functions, calculating the mean values of the two time-delay matrixes, and using a quasi joint approximate diagonalization, the optimal U-matrix can be estimated.Then, the robust source estimates can be obtained after all.Both performance index analysis and simulations show that the new algorithm can make up for the deficiencies of the original algorithm, and successfully separate the signal.关键词
振动与波/二阶统计量/均衡化/联合近似对角化/性能指标Key words
vibration and wave/ second-order statistics/ equalization/ joint approximate diagonalization/ performance index分类
信息技术与安全科学引用本文复制引用
吕淑平,方兴杰..改进的二阶统计量盲分离算法[J].噪声与振动控制,2011,31(3):19-23,5.
