Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DOA estimation is required. Simulation results are provided to demonstrate the effectiveness of the proposed methods
A distributed sensor array network is studied, where sub-arrays are placed on those distributed obse...
A class of Cramr-Rao bounds (CRBs) for wideband direction-of-arrival (DOA) estimation under the subb...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer ...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensin...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
High resolution broadband source direction of arrival (DOA) estimation is a challenge problem in aco...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
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...
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
To reach a higher number of degrees of freedom by exploiting the fourth-order difference co-array c...
A distributed sensor array network is studied, where sub-arrays are placed on those distributed obse...
A class of Cramr-Rao bounds (CRBs) for wideband direction-of-arrival (DOA) estimation under the subb...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer ...
Direction of arrival (DOA) estimation from the perspective of sparse signal representation has attra...
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensin...
A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation methods fo...
Under the compressive sensing (CS) framework, a novel focusing based direction of arrival (DOA) esti...
For a uniform linear array (ULA) with specially designed spacing and system settings, the received s...
Abstract—A class of low-complexity compressive sensing-based direction-of-arrival (DOA) estimation m...
High resolution broadband source direction of arrival (DOA) estimation is a challenge problem in aco...
PhDThe significance of sparse representations has been highlighted in numerous signal processing ap...
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...
This paper deals with the wideband direction-of-arrival (DOA) estimation by exploiting the multiple ...
To reach a higher number of degrees of freedom by exploiting the fourth-order difference co-array c...
A distributed sensor array network is studied, where sub-arrays are placed on those distributed obse...
A class of Cramr-Rao bounds (CRBs) for wideband direction-of-arrival (DOA) estimation under the subb...
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer ...