Blind Separation of Nonstationary Sources in Impulse Noise

LIU Jian-qiang; FENG Da-zheng

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Blind Separation of Nonstationary Sources in Impulse Noise

更新时间：2025-07-16

- Blind Separation of Nonstationary Sources in Impulse Noise
- Acta Electronica Sinica Vol. 31, Issue 12, Pages: 1921-1923(2003)
- 作者机构：
  
  西安电子科技大学电子工程研究所,陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：2003
- 稿件说明：
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LIU Jian-qiang, FENG Da-zheng. Blind Separation of Nonstationary Sources in Impulse Noise[J]. Acta Electronica Sinica, 2003, 31(12): 1921-1923.
DOI：

LIU Jian-qiang, FENG Da-zheng. Blind Separation of Nonstationary Sources in Impulse Noise[J]. Acta Electronica Sinica, 2003, 31(12): 1921-1923. DOI：

摘要

盲源分离的目的在于只利用观测数据把被瞬时线性混合的源信号恢复出来.本文讨论的是一种在服从

α-

稳定的噪声中的非平稳源盲分离方法

我们首先用一个经验门限值对观测数据进行预处理

充分利用源信号的非平稳性和时间相关特性

对加权后的观测数据用滑窗的方法得到不同的时延相关矩阵

然后利用多个特征矩阵的近似联合对角化方法来估计源信号和混合矩阵.这种方法适用于特征指数

趋于1的情况

仿真结果说明该方法具有良好的性能.

Abstract

Blind separation of sources consists of recovering a set of signals in which only instantaneous linear mixing are observed.This paper presents a novel blind separation method of nonstationary sources when noises are

-stable processes

the observed data are preprocessed using an empirical threshold value.To make full use of nonstationarity and temporal correlation of sources

we exploit sliding windows to form multiple time-delay correlation matrices of the weighted observed data

then use approximately joint diagonalization to estimate the mixing matrix and source signals.The method is limited to the case of characteristic exponent

tending to unity

and computer simulation is provided to illuminate the high performance of the proposed method.

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Related Institution

National Key Laboratory of Science & Technology on Electronic Test & Measurement The 41st Research Institute of China Electronics Technology Group Corporation Qingdao Shandong China

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College of Electrical and Information Engineering Hunan University Changsha Hunan China

National Key Laboratory of Science & Technology on Electronic Test & Measurement, The 41st Research Institute of China Electronics Technology Group Corporation

School of Electrical Engineering and Automation, Hefei University of Technology

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