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 …

In this letter, we devise an efficient approach for estimating the directions-of-arrival (DOAs) of
coherent signals using coprime arrays. Specifically, we firstly derive an augmented uniform …

In this letter, we develop an effective algorithm for direction-of-arrival (DOA) estimation of
coherent sources with coprime arrays. Firstly, we generate a virtual uniform linear array …

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 …

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 …

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 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 …

This paper addresses the issue of two-dimensional (2-D) direction of arrival (DOA)
estimation with coprime planar arrays (CPPAs) via sparse representation. Our work differs …

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 …