This paper examines the performance of tunable reflectarray for Direction of Arrival (DoA) estimation based on Compressed Sensing (CS). Using a reflectarray lifts the limitation on array size compared to classical antenna arrays and provides significantly increased number and complexity of the Sensing Functions (SFs), which boosts the performance of the CS. The paper presents the data model of the reflectarray and analyzes its performance in terms of manifold spatial correlation
Regular fully filled antenna arrays have been widely used in direction of arrival (DOA) estimation. ...
The direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framew...
Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as rad...
In this paper we investigate the design of the measurement matrix for applying Compressed Sensing (C...
In this paper we investigate the design of the measurement matrix for applying Compressed Sensing (C...
This paper deals with the problem of estimating the Directions of Arrival (DOA) of multiple source s...
This paper deals with the problem of estimating the Directions of Arrival (DOA) of multiple source s...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this work, the estimation of the Directions of Arrival (DOAs) of multiple source signals from a s...
Nowadays, many technologies and algorithms are available for the DOA estimation, aimed at satisfying...
International audienceA compressed sensing based approach is proposed in order to diagnose reflectar...
A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is presented, in whi...
High resolution broadband source direction of arrival (DOA) estimation is a challenge problem in aco...
We propose a new architecture, the compressive sampling (CS) ar-ray, for array based applications, b...
Regular fully filled antenna arrays have been widely used in direction of arrival (DOA) estimation. ...
The direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framew...
Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as rad...
In this paper we investigate the design of the measurement matrix for applying Compressed Sensing (C...
In this paper we investigate the design of the measurement matrix for applying Compressed Sensing (C...
This paper deals with the problem of estimating the Directions of Arrival (DOA) of multiple source s...
This paper deals with the problem of estimating the Directions of Arrival (DOA) of multiple source s...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
In this work, the estimation of the Directions of Arrival (DOAs) of multiple source signals from a s...
Nowadays, many technologies and algorithms are available for the DOA estimation, aimed at satisfying...
International audienceA compressed sensing based approach is proposed in order to diagnose reflectar...
A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is presented, in whi...
High resolution broadband source direction of arrival (DOA) estimation is a challenge problem in aco...
We propose a new architecture, the compressive sampling (CS) ar-ray, for array based applications, b...
Regular fully filled antenna arrays have been widely used in direction of arrival (DOA) estimation. ...
The direction of arrival (DOA) estimation problem is formulated in a compressive sensing (CS) framew...
Direction of Arrival (DOA) techniques have been widely used in a variety of applications such as rad...