Compressive covariance sensing: Structure-based compressive sensing beyond sparsity

D Romero, DD Ariananda, Z Tian… - IEEE signal processing …, 2015 - ieeexplore.ieee.org
Compressed sensing deals with the reconstruction of signals from sub-Nyquist samples by
exploiting the sparsity of their projections onto known subspaces. In contrast, this article is …

Sparsity-based direction finding of coherent and uncorrelated targets using active nonuniform arrays

E BouDaher, F Ahmad, MG Amin - IEEE Signal Processing …, 2015 - ieeexplore.ieee.org
In this letter, direction-of-arrival (DOA) estimation of a mixture of coherent and uncorrelated
targets is performed using sparse reconstruction and active nonuniform arrays. The data …

Sparsity-based DOA estimation of coherent and uncorrelated targets with flexible MIMO radar

J Shi, G Hu, X Zhang, F Sun - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
This paper considers the direction of arrival (DOA) estimation of coherent and uncorrelated
targets by exploiting a flexible multiple input multiple output radar. First, the proposed radar …

Spatial channel covariance estimation for the hybrid MIMO architecture: A compressive sensing-based approach

S Park, RW Heath - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
Spatial channel covariance information can replace full knowledge of the entire channel
matrix for designing analog precoders in hybrid multiple-input-multiple-output (MIMO) …

Spatial channel covariance estimation for mmWave hybrid MIMO architecture

S Park, RW Heath - 2016 50th Asilomar Conference on Signals …, 2016 - ieeexplore.ieee.org
Spatial channel covariance information can replace full channel state information for
designing analog precoders in millimeter wave (mmWave) hybrid MIMO systems. Hybrid …

Experimental assessment of the coarray concept for DoA estimation in wireless communications

J Wang, H Xu, GJT Leus… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The direction of arrival (DoA) estimation performance of three different coarray structures,
namely, the nested array, the coprime sampling array, and the sparse ruler array are …

Adaptive hybrid precoding and combining in mmWave multiuser MIMO systems based on compressed covariance estimation

R Méndez-Rial, N González-Prelcic… - 2015 IEEE 6th …, 2015 - ieeexplore.ieee.org
In this paper we propose an adaptive multi user (MU) single-cell hybrid precoding strategy
that iteratively designs the precoders/combiners exploiting the reciprocity of time division …

Joint Multipath Channel Estimation and Array Channel Inconsistency Calibration for Massive MIMO Systems

Y Yin, Y Wang, Y Gong, N Kumar… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Efficient communication in massive multiple-input multiple-output (MIMO) systems relies on
accurate channel estimation to optimize signal transmission efficiency, reliability, and …

Symmetric sum coarray based co-prime MIMO configuration for direction of arrival estimation

J Shi, G Hu, X Zhang, Y Xiao - AEU-International Journal of Electronics and …, 2018 - Elsevier
This paper proposes a symmetric co-prime multiple input multiple output (MIMO)
configuration for direction of arrival (DOA) estimation, where the transmitter has 4 M-1 …

FDD channel estimation via covariance estimation in wideband massive MIMO systems

JP González-Coma, P Suárez-Casal, PM Castro… - Sensors, 2020 - mdpi.com
A method for channel estimation in wideband massive Multiple-Input Multiple-Output
systems using hybrid digital analog architectures is developed. The proposed method is …