Many real-life signals are compressible, meaning that they depend on much fewer
parameters than their sample size. In this paper, we use low-rank matrix or tensor …

In this article, a novel structure of sparse co-prime multiple input multiple output (MIMO)
radar is proposed. The proposed sparse co-prime MIMO radar employs one co-prime planar …

We address the problem of tensor decomposition in application to direction-of-arrival (DOA)
estimation for two-dimensional transmit beamspace (TB) multiple-input multiple-output …

The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where
the co-prime array consists of two uniform sparse linear subarrays with extended inter …

In this article, we address the problem of robust adaptive beamforming in the presence of
array sensor miscalibration. We consider the use of partly calibrated linear arrays, where …

Over the last two decades, tensor‐based methods have received growing attention in the
signal processing community. In this work, the authors proposed a comprehensive overview …

This paper proposes a new acoustic vector sensor array geometry containing a sparse right
triangular subarray with three guiding vector sensors plus an additional subarray with …

In the past few years, multidimensional array processing emerged as the generalization of
classic array signal processing. Tensor methods exploiting array multidimensionality …

Distributed coherent aperture radar (DCAR) can realise N3 times signal‐to‐noise ratio
promotion, as well as achieve high accuracy angle estimation since it has an equivalent …

Harmonic retrieval (HR) is a problem of significance with numerous applications. Many
existing algorithms are explicitly or implicitly developed under Gaussian noise assumption …