Abstract Recently, sparse arrays have received considerable attention as they provide larger array aperture and increased degrees‐of‐freedom (DOFs) compared to uniform linear arrays. These features are essential to enhance the direction‐of‐arrival estimation performance. However, most of the existing sparse arrays are mainly designed for circular sources and realize limited increment in DOFs for non‐circular sources. In this letter, a new sparse array configuration for non‐circular sources is presented, which significantly increases the achievable DOFs and improves the direction‐of‐arrival estimation performance. The proposed geometry comprises two effectively configured uniform linear arrays that exploit the characteristics of non‐circular...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
In this article we analyze the performance of nonuniform linear arrays for Direction of Arrival (DOA...
Antenna arrays used in Compressive Sensing (CS) based algorithms are generated randomly to minimize ...
The existing coprime array is mainly applicable to circular sources, while the virtual array degree ...
Abstract Resolving more sources than sensors is always of interest to researchers. For this purpose,...
Recently, the design of sparse linear array for direction of arrival (DOA) estimation of non-Gaussia...
Recently, the design of sparse linear array for direction of arrival (DOA) estimation of non-circula...
Elbir, Ahmet M./0000-0003-4060-3781WOS: 000500974200008Sparse antenna arrays provide larger virtual ...
Nowadays, sparse arrays have been a hotspot for research in the direction of arrival (DOA). In order...
Sparse sensor arrays can match the performance of fully populated arrays in many tasks, such as dire...
Sparse arrays based on the concept of a sum-difference coarray (SDCA) have increased degrees of free...
A novel array structure for significantly increasing the degrees of freedom of linear arrays is pro...
In this paper we present some preliminary results on antenna array extrapolation for Direction Of Ar...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer ...
Mutual coupling, which is caused by a tight intersensor spacing in uniform linear arrays (ULAs), wil...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
In this article we analyze the performance of nonuniform linear arrays for Direction of Arrival (DOA...
Antenna arrays used in Compressive Sensing (CS) based algorithms are generated randomly to minimize ...
The existing coprime array is mainly applicable to circular sources, while the virtual array degree ...
Abstract Resolving more sources than sensors is always of interest to researchers. For this purpose,...
Recently, the design of sparse linear array for direction of arrival (DOA) estimation of non-Gaussia...
Recently, the design of sparse linear array for direction of arrival (DOA) estimation of non-circula...
Elbir, Ahmet M./0000-0003-4060-3781WOS: 000500974200008Sparse antenna arrays provide larger virtual ...
Nowadays, sparse arrays have been a hotspot for research in the direction of arrival (DOA). In order...
Sparse sensor arrays can match the performance of fully populated arrays in many tasks, such as dire...
Sparse arrays based on the concept of a sum-difference coarray (SDCA) have increased degrees of free...
A novel array structure for significantly increasing the degrees of freedom of linear arrays is pro...
In this paper we present some preliminary results on antenna array extrapolation for Direction Of Ar...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer ...
Mutual coupling, which is caused by a tight intersensor spacing in uniform linear arrays (ULAs), wil...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
In this article we analyze the performance of nonuniform linear arrays for Direction of Arrival (DOA...
Antenna arrays used in Compressive Sensing (CS) based algorithms are generated randomly to minimize ...