Underdetermined direction of arrival (DOA) estimation with coprime array is discussed in the framework of multiple measurement sparse Bayesian learning (MSBL). Exploiting the extended difference coarray, a larger number of degrees of freedom can be obtained for locating more sources than sensors. A ...
Han, P., Xu, H., Cui, W., Zhang, Y., Ba, B.: A novel DOA estimation method for uncorrelated and coherent signals via compressed sensing in sparse arrays. Elec. Lett. 57(25), 974–976 (2021) MATH Google Scholar Liu, C., Vaidyanathan, P.P., Pal, P.: Coprime coarray interpo...
a two-dimensional DOA estimation method based on total variational regularization was proposed, which was abbreviated as 2DTV-CES.Firstly, an extended sound source model was established by using the spatial distribution group of the extended sound sou...
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple source signals from a single observation vector of an array data. In particular, four estimation algorithms based on the theory of compressed sensing (CS), i.e., the classicalℓ1minimization (or Least...
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Sparse arrayHierarchical priorMaximum a posteriori (MAP)Variational inferenceThis paper reformulates the problem of direction-of-arrival (DOA) estimation for sparse array from a variational Bayesian perspective. In this context, we propose a hierarchical prior for the signal coefficients that amounts ...
Direction-of-arrival (DOA) estimation problem is one of the most important tasks for array signal processing. Conventional methods are limited by either the computational complexity or the resolution. In this paper, a novel deep learning (DL) framework for super-resolution DOA estimation is develope...
In this paper, a sparse array design problem for non-Gaussian signal direction of arrival (DOA) estimation is investigated. Compared with conventional second-order cumulant- (SOC-) based methods, fourth-order cumulant- (FOC-) based methods achieve improved DOA estimation performance by utilizing all...
Shen, X., Tang, J. DOA Estimation of Coherent Sources Using Coprime Array via Reweighted Atomic Norm Minimization.Circuits Syst Signal Process44, 2762–2778 (2025). https://doi.org/10.1007/s00034-024-02938-1 Download citation Received13 June 2024 ...
(DOFs) to resolve more sources than sensors, such as the minimum-redundancy array [6], the nested array [7], and the co-prime array [8]. Their DOA estimation algorithms focused on using the high order statistic characteristics of the received data of the sparse array to increase the ...