For a uniform linear array (ULA) with specially designed spacing and system settings, the received signals are first decomposed into different frequency bins via discrete Fourier transform (DFT). By grouping the frequencies of interest into several pairs, a generalized complexity reduction method is proposed to merge the redundant entries in both the auto-correlation matrices at each frequency and the cross-correlation matrices across different frequencies, followed by the group sparsity based low-complexity method to find the directions of arrival (DOAs) of the impinging signals. Simulation results demonstrate that significantly reduced complexity and improved performance can be achieved by the proposed method
In this paper, the closed-form Cramer-Rao bound (CRB) is derived for direction-of-arrival (DOA) esti...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
The performance of wideband array signal processing algorithms is dependant on the noise level in th...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
A method is proposed for reducing the effect of white noise in wide- band uniform linear arrays via ...
Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wid...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensin...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A class of Cramr-Rao bounds (CRBs) for wideband direction-of-arrival (DOA) estimation under the subb...
The Cramr-Rao bound (CRB) for direction of arrival (DOA) estimation exploiting both auto-correlation...
Abstract—A novel wideband direction-of-arrival (DOA) esti-mation method is proposed for co-prime arr...
This paper concerns wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs)....
In this paper, the closed-form Cramer-Rao bound (CRB) is derived for direction-of-arrival (DOA) esti...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
The performance of wideband array signal processing algorithms is dependant on the noise level in th...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
A method is proposed for reducing the effect of white noise in wide- band uniform linear arrays via ...
Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wid...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensin...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A class of Cramr-Rao bounds (CRBs) for wideband direction-of-arrival (DOA) estimation under the subb...
The Cramr-Rao bound (CRB) for direction of arrival (DOA) estimation exploiting both auto-correlation...
Abstract—A novel wideband direction-of-arrival (DOA) esti-mation method is proposed for co-prime arr...
This paper concerns wideband direction of arrival (DoA) estimation with sparse linear arrays (SLAs)....
In this paper, the closed-form Cramer-Rao bound (CRB) is derived for direction-of-arrival (DOA) esti...
Array signal processing is based on using an array of sensors to receive the impinging signals. The ...
The performance of wideband array signal processing algorithms is dependant on the noise level in th...