Adaptive beamforming using sparse arrays can alleviate system burden with a sub-Nyquist
sampling rate while achieving high resolution. To process multi-dimensional signals without …

Compared with the traditional subspace-based methods, sparse signal recovery (SSR)
based methods have obvious advantages in performing the direction of arrival (DOA) …

Direction-of-arrival (DOA) estimation using sub-Nyquist tensor signals benefits from
enhanced performance by extracting structural angular information with multi-dimensional …

Adaptive beamforming plays an increasingly vital role in various applications, including
radar, sonar, telecommunications, and many other related fields. In this paper, we present …

For direction-of-arrival (DOA) estimation problems, sparse Bayesian learning (SBL) has
achieved excellent estimation performance, especially in sparse arrays. However, numerous …

We recently extended the degrees of freedom for the bistatic multiple-input multiple-output
(MIMO) radar by exploiting sparse array motion at the receiver part, and considered the …

Array sensor failure poses a serious challenge to robust direction-of-arrival (DOA) estimation
in complicated environments. Although existing matrix completion methods can successfully …

The integration of digital twin technology and the Metaverse has attracted widespread
attention in the field of consumer health. Meanwhile, the immersive virtual world, Metaverse …

Utilizing sparse arrays is a very effective and commonly used method to enhance the
degrees of freedom (DOFs) of multiple-input multiple-output (MIMO) radar. Unfortunately, as …

Direction of arrival (DOA) estimation with nested arrays has been widely investigated in the
field of array signal processing, but most studies assume that the noise is Gaussian white …