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 …

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 …

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

Recently, nested and coprime arrays have attracted considerable interest due to their
capability of providing increased array aperture, enhanced degrees of freedom (DOFs), and …

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 …

Direction of arrival (DOA) is one of the essential topics in array signal processing that has
many applications in communications, smart antennas, seismology, acoustics, radars, and …

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

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 …

This paper utilizes sparse array motion to increase the numbers of achievable both degrees
of freedom (DOFs) and consecutive lags in direction-of-arrival (DOA) estimation problems …

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 …