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基于单分量提取的卷积盲分离算法
引用本文:张华,冯大政,庞继勇,徐先锋.基于单分量提取的卷积盲分离算法[J].电路与系统学报,2009,14(6).
作者姓名:张华  冯大政  庞继勇  徐先锋
作者单位:1. 西安电子科技大学,雷达信号处理国家重点实验室,陕西,西安,710071
2. 上海贝尔股份有限公司,研究与创新中心,上海,201206
基金项目:国家自然科学基金,国家863计划课题 
摘    要:针对卷积盲分离问题,利用源信号之间相互独立的性质,提出一种基于单分量提取的联合块对角化算法依次估计各源信号对应的传输信道,以实现源信号分离.利用白化后观测数据相关矩阵的酉正交块对角化结构,改进最小二乘代价函数,将原函数中关于传输矩阵的四次函数转换为一组相互独立的子代价函数.每个子代价函数为三组待定参数的二次函数,用于估计一个独立信号块到达接收阵的子混迭矩阵.提出单分量提取的联合块对角化算法,交替估计各子代价函数中的三组待定参数,得到子信道混迭矩阵的估计,实现源信号的分离.实验结果表明,与经典的类Jacobi算法相比,所提算法收敛步骤大约减少20步,且收敛性能提高至少3dB,可快速有效地解决卷积盲分离问题.

关 键 词:卷积盲分离  联合块对角化  单分量提取

Convolutive blind separation algorithm based on single component extracting
ZHANG Hua,FENG Da-zheng,PANG Ji-yong,XU Xian-feng.Convolutive blind separation algorithm based on single component extracting[J].Journal of Circuits and Systems,2009,14(6).
Authors:ZHANG Hua  FENG Da-zheng  PANG Ji-yong  XU Xian-feng
Abstract:A blind convolutive separation algorithm is proposed to sequently estimate the transform channels and separate the source signals based on joint block-diagonalization by virtue of the mutually independent property of the source signals. Given the block-diagonalization correlation matrices of the observed signals,through whitening processing and improving the classical least squares method,the fourth-order cost function of the transform channel is split into a sequence of quadratic sub-functions,each of whic...
Keywords:blind separation of convolutive mixtures  joint block-diagonalization  single component extracting
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