盲源分离不确定性问题研究综述

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大连民族大学学报 ›› 2021, Vol. 23 ›› Issue (5) : 446-453.

计算机信息与通信

盲源分离不确定性问题研究综述

肖瑛, 马艺伟, 黄小青

作者信息 +

A Survey of Uncertainty Problem Algorithms for Blind Source Separation

XIAO Ying, MA Yi-wei, HUANG Xiao-qing

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摘要

盲源分离(Blind Signal Separation, BSS)技术在工程上具有广泛应用。典型的BSS算法均存在不确定性问题,即幅度不确定性和顺序不确定。作为BSS的技术瓶颈问题,BSS的不确定性问题在某些工程领域制约BSS方法的推广应用。文中基于线性瞬时BSS混合模型,分析了BSS不确定性问题产生的根源,并对其不确定性原因进行分类,然后针对分离模型的幅度不确定性和顺序不确定问题,对目前已有的解决方法进行了总结分析。最后文中介绍了BSS不确定性问题研究的方向和潜在的应用领域,为该问题的后续研究提出了新思路。

Abstract

Blind Signal Separation (BSS) technology has a wide range of applications in engineering. Typical BSS algorithms have uncertainty problems, amplitude uncertainty and sequence uncertainty. As the technical bottleneck of BSS, the uncertainty of BSS restricts the popularization and application of BSS methods in some engineering fields. In this paper, based on the linear instantaneous BSS mixed model, the root causes of the BSS uncertainty problem are analyzed, the uncertain reasons are classified, then the amplitude uncertainty and sequence uncertainty of the separation model are solved,the method is summarized and analyzed. Finally, the paper introduces the research direction and potential application fields of the BSS uncertainty problem, and puts forward new ideas for the follow-up study of the problem.

导出引用

肖瑛, 马艺伟, 黄小青. 盲源分离不确定性问题研究综述. 大连民族大学学报. 2021, 23(5): 446-453

XIAO Ying, MA Yi-wei, HUANG Xiao-qing. A Survey of Uncertainty Problem Algorithms for Blind Source Separation. Journal of Dalian Minzu University. 2021, 23(5): 446-453

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Received	Revised	Published
2021-07-01	2021-07-11	2021-09-20
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2022-03-09

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