International audienceAn improved MUSIC algorithm for direction-of-arrival estimation is introduced that accounts both for large array sizes N comparatively with the number of independent observations n and for the impulsiveness of the background environment (e.g., presence of outliers in the observations). This method derives from the spiked G-MUSIC algorithm proposed in [1] and from the recent works by one of the authors on the random matrix analysis of robust scatter matrix estimators [2]. The method is shown to be asymptotically consistent where classical approaches are not. This superiority is corroborated by simulations
In this paper, we introduce a new framework for robust multiple sig-nal classification (MUSIC). The ...
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case ...
International audienceThe MUltiple SIgnal Classification (MUSIC) estimator has been widely studied f...
International audienceAn improved MUSIC algorithm for direction-of-arrival estimation is introduced ...
In this paper, the outlier production mechanism of the G-MUSIC Direction-of-Arrival estimation techn...
International audienceA class of robust estimators of scatter applied to information-plus-impulsive ...
A class of robust estimators of scatter applied to information-plus-impulsive noise samples is studi...
This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival...
Direction of Arrival estimation refers to defining a mathematical function called a pseudospectrum t...
Abstract—A family of algorithms, named-MUSIC, for direc-tion-of-arrival (DOA) estimation in impulsiv...
Direction of Arrival estimation refers to defining a mathematical function called a pseudospectrum t...
The estimation of direction of arrival (DOA) is the main study of the direction finding and location...
Based on MUSIC-LIKE algorithm, an improved algorithm for multiple source direction of arrival estima...
Abstract: In this paper, a new MUSIC algorithm for direction of arrival (DOA) estimation is develope...
In the past few years there have been attempts to develop subspace methods for DoA (direction of arr...
In this paper, we introduce a new framework for robust multiple sig-nal classification (MUSIC). The ...
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case ...
International audienceThe MUltiple SIgnal Classification (MUSIC) estimator has been widely studied f...
International audienceAn improved MUSIC algorithm for direction-of-arrival estimation is introduced ...
In this paper, the outlier production mechanism of the G-MUSIC Direction-of-Arrival estimation techn...
International audienceA class of robust estimators of scatter applied to information-plus-impulsive ...
A class of robust estimators of scatter applied to information-plus-impulsive noise samples is studi...
This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival...
Direction of Arrival estimation refers to defining a mathematical function called a pseudospectrum t...
Abstract—A family of algorithms, named-MUSIC, for direc-tion-of-arrival (DOA) estimation in impulsiv...
Direction of Arrival estimation refers to defining a mathematical function called a pseudospectrum t...
The estimation of direction of arrival (DOA) is the main study of the direction finding and location...
Based on MUSIC-LIKE algorithm, an improved algorithm for multiple source direction of arrival estima...
Abstract: In this paper, a new MUSIC algorithm for direction of arrival (DOA) estimation is develope...
In the past few years there have been attempts to develop subspace methods for DoA (direction of arr...
In this paper, we introduce a new framework for robust multiple sig-nal classification (MUSIC). The ...
This paper proposes a method for direction of arrival (DOA) estimation which can be applied in case ...
International audienceThe MUltiple SIgnal Classification (MUSIC) estimator has been widely studied f...