The proliferation of wireless services is driving innovative phased array solutions that are
able to provide better cost/performance tradeoffs. In this context, the use of irregular array …

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 …

This survey provides a brief introduction to compressed sensing as well as several major
algorithms to solve it and its various applications to communications systems. We firstly …

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

Advanced Antenna Array Engineering for 6G and Beyond Wireless Communications
Reviews advances in the design and deployment of antenna arrays for future generations of …

In this paper, the design of sparse planar arrays is yielded through a set of innovative and
efficient pattern matching algorithms within the Bayesian Compressive Sensing (BCS) …

The application of the compressive sensing (CS) paradigm to retrieve non-single-pixels
contrast profiles is discussed. By exploiting a wavelet representation to model complex …

Sparse synthesis can reduce the maximum sidelobe level (SLL) and overhead of the
concentric circular antenna array (CCAA) by switching off partial array elements. However …

The paper considers sparse array design for receive beamforming achieving maximum
signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple …

The aim of this paper is to discuss a novel technique for sparse array synthesis. The
synthesis strategy is based on a sparse-forcing algorithm using an improvement of the …