基于时频域单源区域的延迟欠定混合非平稳信号盲分离

摘要

Aiming at the problem of underdetermined blind separation of the attenuated and delayed mixtures, we propose amethod based on the subspace decomposition to find the single source area in time-frequency domain, and then estimate the mixing matrix via clustering the principal eigenvectors of the covariance matrixes corresponding to the single source regions without knowing the number of original sources, finally we modify the algorithm based on subspace projection to extract the original signal. Simulation results indicate that the proposed algorithm estimates the mixing matrix with higher accuracy and separates the source signals with higher gain, compared to the other algofithms%针对衰减-延迟欠定混合信号的盲分离问题,提出了基于子空间分解的时频域上单源区域检测方法,估计出信号在时频域上的单源区域以及相应的特征向量,然后利用系统聚类法对单源区域对应的特征向量进行聚类分析,估计出源信号数目以及混合矩阵,最后通过改进的基于子空间投影算法完成源信号的恢复.仿真结果表明本文算法提高了混合矩阵和源信号的估计性能.