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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

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The Fractional Lower Order Moments Based ESPRIT Algorithm for Noncircular Signals in Impulsive Noise Environments

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论文类型: 期刊论文

发表时间: 2017-09-01

发表刊物: WIRELESS PERSONAL COMMUNICATIONS

收录刊物: Scopus、SCIE、EI

卷号: 96

期号: 2

页面范围: 1673-1690

ISSN号: 0929-6212

关键字: Noncircular; Direction of arrival; Fractional lower order statistics; Alpha-stable distribution; Impulsive noise

摘要: By applying the covariation statistics, this paper generalizes the non-circularity to the scenario of complex isotropic symmetric alpha-stable () signals. The matrices based on fractional lower order moments for the extended sensor array outputs, which have been shown to have similar forms to the covariance matrix for the Gaussian distributed signals and noise, are formulated for the case of complex signals and noise. Therefore, the similarity transformation based estimating signal parameter via rotational invariance techniques can be applied to these matrices resulting to the improved direction of arrival estimates for noncircular signals in the presence of impulsive noise environments. The robustness of our proposed algorithm, especially for low generalized signal to noise ratio situations, and for quite highly impulsive noise environments is demonstrated by Monte-Carlo simulations.

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