A tensor-based method for large-scale blind source separation using segmentation
M Bousse, O Debals… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
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 …
parameters than their sample size. In this paper, we use low-rank matrix or tensor …
A dual-resolution unitary ESPRIT method for DOA estimation based on sparse co-prime MIMO radar
S Qiu, X Ma, R Zhang, Y Han, W Sheng - Signal Processing, 2023 - Elsevier
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 …
radar is proposed. The proposed sparse co-prime MIMO radar employs one co-prime planar …
DOA estimation for transmit beamspace MIMO radar via tensor decomposition with Vandermonde factor matrix
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 …
estimation for two-dimensional transmit beamspace (TB) multiple-input multiple-output …
[HTML][HTML] A low-complexity ESPRIT-based DOA estimation method for co-prime linear arrays
F Sun, B Gao, L Chen, P Lan - Sensors, 2016 - mdpi.com
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 …
the co-prime array consists of two uniform sparse linear subarrays with extended inter …
Simultaneous interference localization and array calibration for robust adaptive beamforming with partly calibrated arrays
J He, T Shu, V Dakulagi, L Li - IEEE Transactions on Aerospace …, 2021 - ieeexplore.ieee.org
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 …
array sensor miscalibration. We consider the use of partly calibrated linear arrays, where …
Tensor methods for multisensor signal processing
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 …
signal processing community. In this work, the authors proposed a comprehensive overview …
Cumulant-based 2-D direction estimation using an acoustic vector sensor array
J He, Z Zhang, C Gu, T Shu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …
triangular subarray with three guiding vector sensors plus an additional subarray with …
Tensor beamforming for multilinear translation invariant arrays
LN Ribeiro, ALF de Almeida… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In the past few years, multidimensional array processing emerged as the generalization of
classic array signal processing. Tensor methods exploiting array multidimensionality …
classic array signal processing. Tensor methods exploiting array multidimensionality …
High accuracy unambiguous angle estimation using multi‐scale combination in distributed coherent aperture radar
T Long, H Zhang, T Zeng, Q Liu… - IET Radar, Sonar & …, 2017 - Wiley Online Library
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 …
promotion, as well as achieve high accuracy angle estimation since it has an equivalent …
Robust harmonic retrieval via block successive upper-bound minimization
Harmonic retrieval (HR) is a problem of significance with numerous applications. Many
existing algorithms are explicitly or implicitly developed under Gaussian noise assumption …
existing algorithms are explicitly or implicitly developed under Gaussian noise assumption …