Linear sparse antenna arrays have been widely studied in array processing literature. They
belong to the general class of non-uniform linear arrays (NULAs). Sparse arrays need fewer …

The generalized linear moving sampling scheme (MSS) exploiting the second-order
statistics and also the high-order cumulants is studied, where the set of MSS is defined as …

The expanding and shift scheme with two nested arrays (EAS-NA-NA) is easy to construct
and effective for achieving large number of degrees of freedom (DOFs), which is one of the …

The spatial covariance matrix, as the core of subspace direction of arrival (DOA) estimation,
is unavailable in the hybrid analog-digital structure, which is widely used in large-scale …

In this letter, a novel nested array is proposed which not only increases the degrees of
freedom (DOF) but also reduces the mutual coupling that occurs in the general nested array …

Underdetermined blind DOA estimation for linear arrays without the prior knowledge of array
configuration is a challenging problem. Two methods are proposed to solve this problem …

Array motion can efficiently enhance the achievable number of degrees-of-freedom (DOFs)
by the virtue of filling the holes in the difference co-array. In this paper, the concept of …

Coprime array motions are known to improve direction of arrival (DOA) estimation due to the
synthetic aperture technique and the concept of difference coarray (DCA) are combined to …

In this work, we propose some novel coprime array configurations for real-valued sources,
which will achieve more degrees-of-freedom (DOF) than the other existing coprime arrays …

In direction of arrival (DOA) estimation exploiting array motions, conventional designs
consider sparse arrays moving along or perpendicular to the array direction, and only the …