卷积混合信号频域单源盲分离方法  

BLIND SEPARATION OF CONVOLVED MIXTURES BY USING ONE-UNIT ALGORITHM IN THE FREQUENCY DOMAIN

作　　者：熊英[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都610054

出　　处：《西南石油大学学报（自然科学版）》2008年第3期55-57,共3页Journal of Southwest Petroleum University(Science & Technology Edition)

摘　　要：利用滑窗短时傅里叶变换将信号时域卷积混合形式转换到频域瞬态混合形式,这样可用瞬时混合模型中各种成熟的ICA算法进行卷积混合信号的盲分离。基于卷积混合信号频域盲分离算法,针对实际环境分离滤波器阶数较高的情况,在每个频率点利用一种快速收敛的单源算法即复数固定点算法,一次分离出一个源信号。为防止每次分离收敛于同一信号,采用抽气技术,把分离出的源信号从待分的混合信号中抽出,同时解决其存在的排序和幅度不一致的问题,实现卷积混合信号的盲分离。计算机仿真证实了该方法的有效性,对油气勘探具有参考价值。The convolutive model in the time domain is transformed to an instantaneous model in the frequency domain by sliding window short-time Fourier Transform,so more robust ICA algorithm of instantaneous model can be employed to solve convolved mixtures problem.In this paper,based on blind convolved mixtures algorithm in the frequency domain,a complex fixed point algorithm that is a one-unit algorithm of the fast convergence is applied to every frequency bin,it can separate source signals under separation filter higher order in the real environment.Then in order to prevent it from converging to the same signal,the deflation technique is used to extract the separated signals from convolved mixtures in the frequency domain.Scaling and permutation problems also are solved in the frequency domain,so multiple-sources can be recovered one by one.Simulation demonstrates the validity.

关 键 词：盲信号分离 频域 抽取 单源算法 卷积混合 信号处理 

分 类 号：TE151[石油与天然气工程—油气勘探] P631[天文地球—地质矿产勘探]