Millimeter-wave based localization using a two-stage channel estimation relying on few-bit ADCs
Benefiting from the high resolution in beamspace, millimeter wave (mmwave)
communication has been regarded as a high-accuracy localization solution, where the …
communication has been regarded as a high-accuracy localization solution, where the …
Channel estimation and localization for mmWave systems: A sparse bayesian learning approach
Millimeter wave (mmWave) systems have potential advantages for high accuracy
localization due to their large bandwidth and highly directional and sparse channel. The …
localization due to their large bandwidth and highly directional and sparse channel. The …
Soft channel estimation and localization for millimeter wave systems with multiple receivers
In millimeter wave (mmWave) communications, user position information can enable various
position-based communication services, such as resource allocation, beam tracking and …
position-based communication services, such as resource allocation, beam tracking and …
Model-based learning network for 3-D localization in mmWave communications
Millimeter-wave (mmWave) cloud radio access networks (CRANs) provide new
opportunities for accurate cooperative localization, in which large bandwidths and antenna …
opportunities for accurate cooperative localization, in which large bandwidths and antenna …
Localization in Reconfigurable Intelligent Surface Aided mmWave Systems: A Multiple Measurement Vector Based Channel Estimation Method
The sparsity of millimeter wave (mmWave) channels in the angular and temporal domains is
beneficial to channel estimation, while the associated channel parameters can be utilized for …
beneficial to channel estimation, while the associated channel parameters can be utilized for …
Localization based on improved sparse Bayesian learning in mmWave MIMO systems
J Fan, X Dou, W Zou, S Chen - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In the existing millimeter-wave (mmWave) wireless positioning systems, the method based
on sparse Bayesian learning (SBL) uses the channel sparsity to estimate the parameters …
on sparse Bayesian learning (SBL) uses the channel sparsity to estimate the parameters …
Multidimensional orthogonal matching pursuit-based RIS-aided joint localization and channel estimation at mmWave
M Bayraktar, J Palacios… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
RIS-aided millimeter wave wireless systems benefit from robustness to blockage and
enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced …
enhanced coverage. In this paper, we study the ability of RIS to also provide enhanced …
Integrated localization and communication for efficient millimeter wave networks
Integrated localization and communication (ILC) at millimeter wave (mmWave MMWAVEinit)
frequencies will be a key enabler for providing accurate location information and high data …
frequencies will be a key enabler for providing accurate location information and high data …
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit
J Palacios, N González-Prelcic… - 2022 30th European …, 2022 - ieeexplore.ieee.org
Compressive approaches provide a means of obtaining high resolution channel estimates in
millimeter wave MIMO systems, despite the use of analog and hybrid architectures. Such …
millimeter wave MIMO systems, despite the use of analog and hybrid architectures. Such …
Multidimensional orthogonal matching pursuit: theory and application to high accuracy joint localization and communication at mmWave
Greedy approaches in general, and orthogonal matching pursuit in particular, are the most
commonly used sparse recovery techniques in a wide range of applications. The complexity …
commonly used sparse recovery techniques in a wide range of applications. The complexity …