This paper presents a new computationally efficient method for direction-of-arrival (DOA)
estimation with arbitrary arrays. The total angular field-of-view is first divided into several …

In this letter, we consider the direction-of-arrival (DOA) estimation in the presence of
unknown mutual coupling in application to uniform linear arrays (ULAs). A novel method is …

In this paper, we address the problem of sparsity-inducing direction-of-arrival (DOA)
estimation in the context of array covariance vectors when a recently proposed nested array …

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 …

Interpolation or mapping of data from a given real array to data from a virtual array of more
suitable geometry is well known in array signal processing. This operation allows arrays of …

After reviewing the main existing methods for determining the maximum-likelihood (ML)
estimates of the direction-of-arrival (DOA) parameters in array signal processing …

The sensitivity of direction-of-arrival (DOA) estimation to different array geometries motivates
the design of optimal sensor constellations. We propose a framework for array geometry …

A new approach is proposed for DOA estimation in nonuniform linear arrays (NLA) based on
array interpolation. A Wiener formulation is presented to improve the condition number of the …

Direction-of-arrival (DOA), power, and achievable degrees-of-freedom (DOFs) are
fundamental parameters for source estimation. In this paper, we propose a novel sparse …

In this letter, we develop a coarray interpolation method for direction-of-arrival (DOA)
estimation using the coprime electromagnetic vector-sensor (EMVS) array. Firstly, we derive …