Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …

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 …

Lower bounds on the mean square error (MSE) play an important role in evaluating the
direction-of-arrival (DOA) estimation performance. Among numerous bounds for DOA …

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

We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional
(4D) sensing for autonomous driving, ie, range, Doppler, azimuth, and elevation, through a …

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 …

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 …

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 …