Augmented coarrays can be derived from spatially undersampled signals of sparse arrays
for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of …

This letter aims to estimate the 2-D direction-of-arrival (DOA) using a polarized uniform
rectangular array (URA) under multipath propagation. To leverage the tensorial nature, a …

Conventional canonical polyadic decomposition (CPD) approach for tensor-based sparse
array direction-of-arrival (DOA) estimation typically partitions the coarray statistics to …

This paper studies the problem of bearing-only formation control of multiagent systems,
where the control of each agent merely relies on the relative bearings to its neighbors …

Distributed control and location estimation of multiagent systems have received tremendous
research attention in recent years because of their potential across many application …

In this letter, we propose a new method for two-dimensional (2-D) direction-of-arrival (DOA)
estimation using two parallel nested arrays. In this method, an augmented covariance matrix …

A new tensor-based approach, which is capable of significantly increasing the degrees of
freedom (DOF) of an L-shaped array consisting of two orthogonal uniform linear arrays …

Sparse arrays, such as nested arrays, are able to resolve more sources than sensors
because their difference co-arrays can provide O (L 2) degrees-of-freedom (DOFs) with L …

In this letter, we devise a cylindrical conformal array with nested subarray structures and
propose a two-dimensional (2-D) direction-of-arrival (DOA) algorithm via sparse …

This paper proposes an efficient direction of departure (DOD) and direction of arrival (DOA)
estimation method for multi-input multi-output (MIMO) systems. For uncorrelated scenarios …