Add to ORKGAbstract For direction of arrival (DOA) estimation in the threshold region, it has been shown that use of Random Matrix Theory (RMT) eigensubspace estimates provides significant improvement in MUSIC performance. Here we investigate whether these RMT methods can also improve the threshold performance of unconditional (stochastic) maximum likelihood DOA estimation (MLE)
This paper considers the statistical performance of the MUSIC method under the condition that two cl...
This paper addresses the statistical performance of subspace DoA estimation using a sensor array, in...
It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direc...
This paper addresses the statistical behaviour of the MUSIC method for DoA estimation, in a scenario...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
Abstract-This is the second of a two-part paper dealing with the performance of subspace-based algor...
In this article, the outlier production mechanism of the conventional Multiple Signal Classification...
This paper explores how angle of arrival (AoA) estimation using the multiple signal classification (...
International audience—When using subspace methods for DoA estimation such as MUSIC, it is well know...
This is the second of a two-part paper dealing with the performance of subspacebased algorithms for ...
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient...
The estimation of direction of arrival (DOA) is the main study of the direction finding and location...
This paper presents a performance analysis of Maximum Likelihood (ML) Direction-Of-Arrival (DOA) est...
Abstract—A novel pseudo-noise resampling (PR) based unitary root-MUSIC algorithm for direction-of-ar...
International audience—This paper adresses the statistical performance of subspace DoA estimation us...
This paper considers the statistical performance of the MUSIC method under the condition that two cl...
This paper addresses the statistical performance of subspace DoA estimation using a sensor array, in...
It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direc...
This paper addresses the statistical behaviour of the MUSIC method for DoA estimation, in a scenario...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
Abstract-This is the second of a two-part paper dealing with the performance of subspace-based algor...
In this article, the outlier production mechanism of the conventional Multiple Signal Classification...
This paper explores how angle of arrival (AoA) estimation using the multiple signal classification (...
International audience—When using subspace methods for DoA estimation such as MUSIC, it is well know...
This is the second of a two-part paper dealing with the performance of subspacebased algorithms for ...
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient...
The estimation of direction of arrival (DOA) is the main study of the direction finding and location...
This paper presents a performance analysis of Maximum Likelihood (ML) Direction-Of-Arrival (DOA) est...
Abstract—A novel pseudo-noise resampling (PR) based unitary root-MUSIC algorithm for direction-of-ar...
International audience—This paper adresses the statistical performance of subspace DoA estimation us...
This paper considers the statistical performance of the MUSIC method under the condition that two cl...
This paper addresses the statistical performance of subspace DoA estimation using a sensor array, in...
It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direc...