Correntropy-based DOA estimation algorithm under impulsive noise environments

In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable ( SαS ) random variables are modeled as impulsive noise, then a novel second-order statistic method that correntropy-based covarianc...

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Published inEURASIP journal on wireless communications and networking Vol. 2020; no. 1; pp. 1 - 20
Main Authors Chen, Jin, Guan, Sheng
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 28.07.2020
Springer Nature B.V
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Abstract In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable ( SαS ) random variables are modeled as impulsive noise, then a novel second-order statistic method that correntropy-based covariance matrix (CBCM) is defined, based on the combination of the CBCM of the array sensor outputs with the signal subspace technique (e.g., multiple signal classification (MUSIC)), which can be achieved source localization under impulsive noise environments. The Monte-Carlo simulation results illustrate the improved performance of CBCM-MUSIC for DOA estimation under a wide range of impulsive noise conditions.
AbstractList In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable ( SαS ) random variables are modeled as impulsive noise, then a novel second-order statistic method that correntropy-based covariance matrix (CBCM) is defined, based on the combination of the CBCM of the array sensor outputs with the signal subspace technique (e.g., multiple signal classification (MUSIC)), which can be achieved source localization under impulsive noise environments. The Monte-Carlo simulation results illustrate the improved performance of CBCM-MUSIC for DOA estimation under a wide range of impulsive noise conditions.
In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable (SαS) random variables are modeled as impulsive noise, then a novel second-order statistic method that correntropy-based covariance matrix (CBCM) is defined, based on the combination of the CBCM of the array sensor outputs with the signal subspace technique (e.g., multiple signal classification (MUSIC)), which can be achieved source localization under impulsive noise environments. The Monte-Carlo simulation results illustrate the improved performance of CBCM-MUSIC for DOA estimation under a wide range of impulsive noise conditions.
Abstract In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric alpha-stable (SαS) random variables are modeled as impulsive noise, then a novel second-order statistic method that correntropy-based covariance matrix (CBCM) is defined, based on the combination of the CBCM of the array sensor outputs with the signal subspace technique (e.g., multiple signal classification (MUSIC)), which can be achieved source localization under impulsive noise environments. The Monte-Carlo simulation results illustrate the improved performance of CBCM-MUSIC for DOA estimation under a wide range of impulsive noise conditions.
ArticleNumber 154
Author Chen, Jin
Guan, Sheng
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Keywords Direction of arrival
Correntropy
Complex isotropic symmetric alpha-stable
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Snippet In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic symmetric...
Abstract In this paper, the direction of arrival (DOA) estimation of signals in the presence of impulsive noise environment is studied. Complex isotropic...
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SubjectTerms Algorithms
Communications Engineering
Complex isotropic symmetric alpha-stable
Computer simulation
Correntropy
Covariance matrix
Direction of arrival
Engineering
Information Systems Applications (incl.Internet)
Monte Carlo simulation
Networks
Noise
Radar and Sonar Networks
Random variables
Sensor arrays
Signal classification
Signal,Image and Speech Processing
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Title Correntropy-based DOA estimation algorithm under impulsive noise environments
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