Coprime arrays can achieve an increased number of degrees of freedom by deriving the
equivalent signals of a virtual array. However, most existing methods fail to utilize all …

In this letter, we propose a coprime array interpolation approach to provide an off-grid
direction-of-arrival (DOA) estimation. Through array interpolation, a uniform linear array …

A coprime array is capable of achieving more degrees-of-freedom for direction-of-arrival
(DOA) estimation than a uniform linear array when utilizing the same number of sensors …

As is well known, nonuniform linear arrays have significant advantages in array aperture
and degrees of freedom over uniform linear arrays. Using their difference coarrays …

A new direction-of-arrival (DOA) estimation method is proposed based on a novel data
model using the concept of a sparse representation of array covariance vectors (SRACV), in …

In this letter, we address the problem of direction finding using coprime array, which is one of
the most preferred sparse array configurations. Motivated by the fact that non-uniform …

Gridless direction of arrival (DOA) estimation is addressed for a 1-D non-uniform array
(NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …

Sparse arrays are known to achieve an increased number of degrees-of-freedom (DOFs) for
direction-of-arrival (DOA) estimation, where an augmented virtual uniform array calculated …

A coprime array uses two uniform linear subarrays to construct an effective difference
coarray with certain desirable characteristics, such as a high number of degrees-of-freedom …

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 …