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 …

The conventional coprime array consists of two uniform linear subarrays to construct an
effective difference coarray with desirable characteristics. Such linear coprime arrays only …

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 …

In this paper, we address the problem of joint direction-of-arrival (DoA) and range estimation
using frequency diverse coprime array (FDCA). By incorporating the coprime array structure …

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 …

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 …

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 …

The coprime array owns a sparse array structure, which can effectively alleviate mutual
coupling, while the holes existing in the difference co-array (DCA) greatly reduce the …

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 …

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 …