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

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 …

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 …

Reconfigurable intelligent surfaces (RIS) can actively perform beamforming and have
become a crucial enabler for the wireless systems in the future. The direction-of-arrival …

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

Among various sensor array configurations, the L-shaped nested array offers improved
performance for 2-D direction-of-arrival (DOA) estimation through co-array processing …

We consider signal source localization from range-difference measurements. First, we give
some readily-checked conditions on measurement noises and sensor deployment to …

Direction-of-arrival (DOA) estimation using deep neural networks has shown great potential
for applications in complicated environments. However, conventional matrix-based deep …

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 …