A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
Abstract—A novel wideband direction-of-arrival (DOA) esti-mation method is proposed for co-prime arr...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of arra...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wid...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband directio...
Abstract—From the co-array perspective, sparse spatial sam-pling can significantly increase the degr...
This paper studies direction of arrival (DoA) estimation with an antenna array using sparse signal r...
A distributed sensor array network is studied, where sub-arrays are placed on those distributed obse...
Recently, some non-coherent DOA estimation methods are presented under a sparse phase retrieval fram...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
Abstract—A novel wideband direction-of-arrival (DOA) esti-mation method is proposed for co-prime arr...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of arra...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wid...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband directio...
Abstract—From the co-array perspective, sparse spatial sam-pling can significantly increase the degr...
This paper studies direction of arrival (DoA) estimation with an antenna array using sparse signal r...
A distributed sensor array network is studied, where sub-arrays are placed on those distributed obse...
Recently, some non-coherent DOA estimation methods are presented under a sparse phase retrieval fram...
In this paper, we study the problem of wideband direction of arrival (DoA) estimation with sparse li...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
Abstract—A novel wideband direction-of-arrival (DOA) esti-mation method is proposed for co-prime arr...
We study the problem of wideband direction of arrival (DoA) estimation by joint optimisation of arra...