This paper presents an analysis of the threshold region performance of deterministic maximum likelihood direction of arrival estimation using sensor arrays. The threshold effect is caused by outliers and thus is not captured by standard analysis tools such as the Cramer-Rao bound and Taylor expansions, since these are local in nature. The work presented in this paper provides a global analysis that can be used to predict the threshold region performance of the maximum likelihood estimator with high accuracy. It extends previous results from the author on the single source to the multiple sources case
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient...
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
International audienceThe outlier production mechanism of maximum likelihood direction-of-arrival es...
This paper presents an analysis of the threshold region performance of deterministic maximum likelih...
This paper presents a performance analysis of Maximum Likelihood (ML) Direction-Of-Arrival (DOA) est...
This paper addresses performance characterization of a direction of arrival (DoA) estimator in the l...
The problem of determining the angle of incidence of signals on a sensor array under the influence o...
“Performance breakdown ” of maximum-likelihood (ML) direction-of-arrival (DoA) estimation is analyze...
A unified statistical performance analysis using subspace perturbation expansions is applied to subs...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
This thesis was performed by first understanding the concept of DoA estimation and realizing its imp...
Subspace based direction-of-arrival (DOA) estimation has attracted many excellent performance studie...
We investigate the maximum likelihood (ML) direction-of-arrival (DOA) estimation of multiple wideban...
This paper introduces a new metric, to approximately lower-bound the error-variance in the estimatio...
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient...
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
International audienceThe outlier production mechanism of maximum likelihood direction-of-arrival es...
This paper presents an analysis of the threshold region performance of deterministic maximum likelih...
This paper presents a performance analysis of Maximum Likelihood (ML) Direction-Of-Arrival (DOA) est...
This paper addresses performance characterization of a direction of arrival (DoA) estimator in the l...
The problem of determining the angle of incidence of signals on a sensor array under the influence o...
“Performance breakdown ” of maximum-likelihood (ML) direction-of-arrival (DoA) estimation is analyze...
A unified statistical performance analysis using subspace perturbation expansions is applied to subs...
In this paper, a unified statistical performance analysis using perturbation expansions is applied t...
After decades of research in Direction of Arrival (DoA) estimation, today Maximum Likelihood (ML) al...
This thesis was performed by first understanding the concept of DoA estimation and realizing its imp...
Subspace based direction-of-arrival (DOA) estimation has attracted many excellent performance studie...
We investigate the maximum likelihood (ML) direction-of-arrival (DOA) estimation of multiple wideban...
This paper introduces a new metric, to approximately lower-bound the error-variance in the estimatio...
In the direction of arrival (DOA) estimation problem, we encounter both finite data and insufficient...
The resolution of a Direction of Arrival (DOA) estimation algorithm is determined based on its capab...
International audienceThe outlier production mechanism of maximum likelihood direction-of-arrival es...