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邱天爽
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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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Robust adaptive DOA estimation method in an impulsive noise environment considering coherently distributed sources

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论文类型: 期刊论文

发表时间: 2019-12-01

发表刊物: SIGNAL PROCESSING

收录刊物: EI、SCIE

卷号: 165

页面范围: 343-356

ISSN号: 0165-1684

关键字: Alpha-stable distribution; Coherently distributed sources; DOA Estimation; Hampel identifier; Correntropy; DSPE

摘要: Many approaches have been studied for the direction of arrival (DOA) estimation of distributed sources under additive Gaussian noise environments, but these schemes typically perform poorly when the noise is modeled as an alpha-stable distribution. This paper extends the definition of correntropy, which exhibits a robust statistical property under impulsive noise environments, by proposing a novel generalized autocorrentropy (GCO) operator. To improve the performance of the GCO operator, an adaptive kernel size function is deduced for symmetric alpha-stable (S alpha S) distributed random variables. Since the adaptive kernel size function does not require any empirical parameter of the impinging signals, it is particularly suitable for cases of practical interest. Based on the advantage of the GCO operator, a distributed signal parameter estimator (DSPE)-like algorithm is proposed for the DOA estimation of coherently distributed (CD) sources in the presence of impulsive noise. Comprehensive simulation results show that the proposed algorithm surpasses the existing algorithms concerning estimation accuracy and probability of resolution under the S alpha S distributed impulsive noise environments. We also conduct comparisons with the existing DOA estimation algorithms under the other two typical impulsive noise conditions. (C) 2019 Elsevier B.V. All rights reserved.

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