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

Sparse array direction-of-arrival (DOA) estimation using tensor model has been developed
to handle multidimensional sub-Nyquist sampled signals. Furthermore, augmented virtual …

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 …

Many real-life signal-based applications use the Tucker decomposition of a high
dimensional/order tensor. A well-known problem with the Tucker model is that its number of …

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

Reconfigurable intelligent surface (RIS) or intelligent reflecting surface (IRS) has been an
attractive technology for future wireless communication and sensing systems. However, in …

The use of antenna arrays is pivotal in array signal processing, with the different antenna
arrays having their own structural advantages. The uniform linear arrays (ULAs) are more …

In this paper, a virtual sensing matrix-based direction-of-arrival (DOA) estimation method is
proposed for the joint sensing and communication system. To maintain high communication …

We propose a blind direction of arrival (DOA) estimation method for multicarrier code-
division multiple access (MC-CDMA) systems, which does not require knowledge of the …

Augmented virtual arrays can be derived from the undersampled signals of sparse arrays for
underdetermined direction‐of‐arrival (DOA) estimation. However, it is difficult to exploit the …