We present a grid-less version of the L1-SVD algorithm for direction of arrival estimation. The resulting semidefinite programming approach is a globally convergent, fully parametric method capable of working with two dimensional arrays with any arbitrary sensor configurations. It is computationally efficient, and shows improved performance when compared with other popular alternatives. The analysis also allows us to formulate the SPICE algorithm in gridless manner
The classical formulation of subspace direction of arrival (DOA) estimation algorithms, such as MUSI...
The problem of direction of arrival (DOA) estimation of narrowband sources using an antenna array is...
Abstract: The majority of algorithms developed for the narrowband direction of arrival (DOA) estimat...
An alternative method for solving the gridless direction-of arrival (DOA) estimation problem is pres...
We propose a low complexity method for estimating direction of arrival (DOA) when the positions of t...
Direction of arrival (DOA) estimation using a uniform linear array (ULA) is a classical problem in a...
A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal...
In this paper an alternative algorithm for the Singular Value Decomposition (SVD) of the data matrix...
In this paper, we propose a new computationally efficient subspace-based method without eigendecompo...
Abstract In this paper, a super-resolution direction-of-arrival (DoA) algorithm for strictly non-cir...
International audienceOn-grid based direction-of-arrival (DOA) estimation methods rely on the resolu...
In this paper, we propose a new direction of arrival (DOA) estimation algorithm, in which DOA estima...
This paper focuses on the problem of estimating and tracking time-varying direction-of-arrivals (DoA...
Underdetermined DOA estimation, which means estimating more sources than sensors, is a challenging p...
A local series expansion of a received signal is pro-posed for computing direction of arrival (DOA) ...
The classical formulation of subspace direction of arrival (DOA) estimation algorithms, such as MUSI...
The problem of direction of arrival (DOA) estimation of narrowband sources using an antenna array is...
Abstract: The majority of algorithms developed for the narrowband direction of arrival (DOA) estimat...
An alternative method for solving the gridless direction-of arrival (DOA) estimation problem is pres...
We propose a low complexity method for estimating direction of arrival (DOA) when the positions of t...
Direction of arrival (DOA) estimation using a uniform linear array (ULA) is a classical problem in a...
A low-complexity algorithm is presented to dramatically reduce the complexity of the multiple signal...
In this paper an alternative algorithm for the Singular Value Decomposition (SVD) of the data matrix...
In this paper, we propose a new computationally efficient subspace-based method without eigendecompo...
Abstract In this paper, a super-resolution direction-of-arrival (DoA) algorithm for strictly non-cir...
International audienceOn-grid based direction-of-arrival (DOA) estimation methods rely on the resolu...
In this paper, we propose a new direction of arrival (DOA) estimation algorithm, in which DOA estima...
This paper focuses on the problem of estimating and tracking time-varying direction-of-arrivals (DoA...
Underdetermined DOA estimation, which means estimating more sources than sensors, is a challenging p...
A local series expansion of a received signal is pro-posed for computing direction of arrival (DOA) ...
The classical formulation of subspace direction of arrival (DOA) estimation algorithms, such as MUSI...
The problem of direction of arrival (DOA) estimation of narrowband sources using an antenna array is...
Abstract: The majority of algorithms developed for the narrowband direction of arrival (DOA) estimat...