基于复Givens矩阵与蝙蝠优化的卷积盲分离算法  

Convolutive blind separation algorithm based on complex Givens matrix and bat optimization

作　　者：贾志成[1] 韩大伟[1] 陈雷[2,3] 郭艳菊[1] 许浩达 

机构地区：[1]河北工业大学电子信息工程学院,天津300401 [2]天津大学精密仪器与光电子工程学院,天津300072 [3]天津商业大学信息工程学院,天津300134

出　　处：《通信学报》2016年第7期107-117,共11页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61401307);中国博士后科学基金资助项目(No.2014M561184);天津应用基础与前沿技术研究计划基金资助项目(No.15JCYBJC17100)~~

摘　　要：针对传统卷积混合盲分离待求参数多、分离效果易受分离矩阵初值影响的局限性,提出了基于复Givens矩阵与蝙蝠优化的频域求解算法。算法采用复Givens矩阵表示分离矩阵,减少了待求参数,降低了求解难度和计算量。利用蝙蝠算法代替梯度算法优化求解旋转角度完成各频点线性瞬时混合复信号的盲分离,全局收敛性更强。此外,由于对源信号的先验知识要求较少,可以分离服从多种分布的信号。仿真实验表明,该算法可有效地实现卷积混合盲分离。For the limitations such as many unknown parameters, the separation accuracy was easily influenced by initial value of separation matrix in traditional convolutive blind separation, a kind of frequency method based on complex Givens matrix and bat optimization was proposed. The algorithm used a series of complex Givens matrices to denote separation matrix, it reduced unknown parameters, decreased the difficulty and the amount of calculations as a result. Besides, the algorithm utilized bat algorithm instead of conventional gradient algorithm to optimize rotation angles and completed the separation of complex linear instantaneous mixing signals at each frequency point, the use of bat algorithm made the optimization ability better. In addition, little prior information was needed and signals following various distributions could be separated. Simulation results show that the proposed method can realize convolutive blind separation efficiently.

关 键 词：盲分离 卷积混合 蝙蝠算法 复Givens矩阵 

分 类 号：TN911.7[电子电信—通信与信息系统]