Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …

In the past ten years, there have been tremendous research progresses on massive MIMO
systems, most of which stand from the communications viewpoint. A new trend to investigate …

Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …

The performance of the existing sparse Bayesian learning (SBL) methods for off-grid
direction-of-arrival (DOA) estimation is dependent on the tradeoff between the accuracy and …

In the practical radar with multiple antennas, the antenna imperfections degrade the system
performance. In this paper, the problem of estimating the direction of arrival (DOA) in a …

Direction of arrival (DOA) estimation from the perspective of sparse signal representation
has attracted tremendous attention in past years, where the underlying spatial sparsity …

Conventional direction-of-arrival (DOA) estimation methods are sensitive to outlier
measurements. Therefore, their performance may degrade substantially in the presence of …

Direction of arrival (DOA) estimation in array processing using uniform/sparse linear arrays
is concerned in this paper. While sparse methods via approximate parameter discretization …

This paper presents an efficient optimization technique for gridless 2-D line spectrum
estimation, named decoupled atomic norm minimization (D-ANM). The framework of atomic …

In this article, we study the radar angular resolution, the capability of distinguishing multiple
targets in different directions of arrivals (DoA). We present a deep learning-based super …