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A novel covariation based noncircular sources direction finding method under impulsive noise environments.

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Title: A novel covariation based noncircular sources direction finding method under impulsive noise environments.
Authors: Jinfeng, Zhang1,2, Tianshuang, Qiu2 qiutsh@dlut.edu.cn
Source: Signal Processing. May2014, Vol. 98, p252-262. 11p.
Subjects: Analysis of covariance, Estimation theory, Signal processing, Matrices (Mathematics), Information theory, Subspaces (Mathematics)
Abstract: Abstract: We extend the bearing estimation method for noncircular signals to the impulsive noise scenario which can be modeled as a complex symmetric alpha-stable (SαS) process. We define the extended covariation based matrix of the sensor outputs and show that it can be applied with subspace techniques to extract the bearing information from noncircular sources. Comprehensive simulations demonstrate that the proposed direction finding algorithm outperforms the traditional NC-MUSIC algorithm in the presence of a wide range of impulsive noise environments. [Copyright &y& Elsevier]
Copyright of Signal Processing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 94049611
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A novel covariation based noncircular sources direction finding method under impulsive noise environments.
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  Data: <searchLink fieldCode="AR" term="%22Jinfeng%2C+Zhang%22">Jinfeng, Zhang</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tianshuang%2C+Qiu%22">Tianshuang, Qiu</searchLink><relatesTo>2</relatesTo><i> qiutsh@dlut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Signal+Processing%22">Signal Processing</searchLink>. May2014, Vol. 98, p252-262. 11p.
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  Data: Abstract: We extend the bearing estimation method for noncircular signals to the impulsive noise scenario which can be modeled as a complex symmetric alpha-stable (SαS) process. We define the extended covariation based matrix of the sensor outputs and show that it can be applied with subspace techniques to extract the bearing information from noncircular sources. Comprehensive simulations demonstrate that the proposed direction finding algorithm outperforms the traditional NC-MUSIC algorithm in the presence of a wide range of impulsive noise environments. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Signal Processing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1016/j.sigpro.2013.11.031
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        Text: English
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        PageCount: 11
        StartPage: 252
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      – SubjectFull: Analysis of covariance
        Type: general
      – SubjectFull: Estimation theory
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      – SubjectFull: Signal processing
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      – SubjectFull: Matrices (Mathematics)
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      – SubjectFull: Information theory
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      – SubjectFull: Subspaces (Mathematics)
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      – TitleFull: A novel covariation based noncircular sources direction finding method under impulsive noise environments.
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            NameFull: Jinfeng, Zhang
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            NameFull: Tianshuang, Qiu
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              Text: May2014
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              Y: 2014
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              Value: 98
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            – TitleFull: Signal Processing
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