教授 博士生导师 硕士生导师
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 生物医学工程学院
学科: 信号与信息处理. 生物医学工程
办公地点: 大连理工大学创新园大厦
联系方式: 电子邮箱:qiutsh@dlut.edu.cn; 电话:15898159801
电子邮箱: qiutsh@dlut.edu.cn
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论文类型: 期刊论文
发表时间: 2017-03-01
发表刊物: CIRCUITS SYSTEMS AND SIGNAL PROCESSING
收录刊物: SCIE、EI
卷号: 36
期号: 3
页面范围: 1115-1128
ISSN号: 0278-081X
关键字: Time delay estimation; Correntropy; Correntropy spectral density; Impulsive noise
摘要: Accuracy and resistance to noise are two important aspects of time delay estimation algorithms. The cross power-spectrum phase algorithm is a classic time delay estimation algorithm. It is accurate but not robust to noise. Its performance deteriorates or even fails under impulsive noise. The improved cross power-spectrum phase algorithms based on fractional lower-order statistics rely on a priori knowledge of impulsive noise. In this paper, we propose a novel time delay estimation algorithm based on the weighted correntropy spectral density. The proposed method works well under impulsive noise because it is based on correntropy theory and its resistance to noise is further strengthened by the weighting process in the frequency domain. Our theoretical analysis and simulations demonstrate that the proposed method is very accurate in the presence of Gaussian or impulsive noise with a low generalized signal-to-noise ratio.