This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal correlated sources when a multiple-input multiple-output (MIMO) sparse radar is deployed. A virtual array with increased degrees-of-freedom (DOF) is realized within two steps by combining MIMO radar with the Khatri-Rao (KR) product approach. Since the final virtual array is a uniform linear array (ULA), a well-known spatial smoothing algorithm is applied to reinforce the rank of its covariance matrix. Meanwhile, the enhanced DOF results in a higher spatial resolution of the radar in the context of DOA estimation.</p
Direction of Arrival (DoA) estimation is an important topic in radar application and has significant...
Abstract—We study compressive sensing in the spatial domain to achieve target localization, specific...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
\u3cp\u3eThis paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for ...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DO...
In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DO...
In this paper, two compressive DoA estimation algorithms are investigated, namely the sparse ruler, ...
Direction of Arrival (DoA) estimation is an important topic in radar application and has significant...
Abstract—We study compressive sensing in the spatial domain to achieve target localization, specific...
Array signal processing is currently widely used in many fields. It has been a hot research area for...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
This paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio-temporal...
\u3cp\u3eThis paper investigates an enhanced direction-of-arrival (DOA) estimation problem of spatio...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for ...
Existing direction of arrival (DOA) estimation methods in multiple-input multiple-out (MIMO) radar s...
In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DO...
In this paper, a real-valued covariance vector sparsity-inducing method for direction of arrival (DO...
In this paper, two compressive DoA estimation algorithms are investigated, namely the sparse ruler, ...
Direction of Arrival (DoA) estimation is an important topic in radar application and has significant...
Abstract—We study compressive sensing in the spatial domain to achieve target localization, specific...
Array signal processing is currently widely used in many fields. It has been a hot research area for...