Dual lawson norm-based robust DOA estimation for RIS-aided wireless communication systems
C Yu, Y Li, L Li, Z Huang, Q Wu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RIS) can actively perform beamforming and have
become a crucial enabler for the wireless systems in the future. The direction-of-arrival …
become a crucial enabler for the wireless systems in the future. The direction-of-arrival …
Structural-missing tensor completion for robust DOA estimation with sensor failure
Array sensor failure poses a serious challenge to robust direction-of-arrival (DOA) estimation
in complicated environments. Although existing matrix completion methods can successfully …
in complicated environments. Although existing matrix completion methods can successfully …
Data-driven scheme for joint estimation of direction-of-arrival and frequency with uniform linear array
This article presents a two-step dynamic mode decomposition (TSDMD) approach to
estimate the direction of arrival (DOA) and frequency for multiple narrow-band sources with …
estimate the direction of arrival (DOA) and frequency for multiple narrow-band sources with …
5g spectrum learning-based passive uav detection in urban scenario
Unmanned aerial vehicles (UAVs) will play an increasingly important role in urban scenario,
while the existing UAV detection technologies are inadequate to achieve full-time, large …
while the existing UAV detection technologies are inadequate to achieve full-time, large …
Sparse Array Interpolation for Direction‐of‐Arrival Estimation
Augmented virtual arrays can be derived from the undersampled signals of sparse arrays for
underdetermined direction‐of‐arrival (DOA) estimation. However, it is difficult to exploit the …
underdetermined direction‐of‐arrival (DOA) estimation. However, it is difficult to exploit the …
DOA Estimation via Meta-Learning under Array Sensor Failures
In the applications of direction-of-arrival (DOA) estimation, random array sensor failures can
cause a serious performance degradation. Although deep learning-based techniques have …
cause a serious performance degradation. Although deep learning-based techniques have …
Robust DOA Estimation Based on Dual Lawson Norm for RIS-Aided Wireless Communication Systems
C Yu, Y Li, L Li, Z Huang, Q Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Reconfigurable intelligent surfaces (RIS) can actively perform beamforming and have
become a crucial enabler for wireless systems in the future. The direction-of-arrival (DOA) …
become a crucial enabler for wireless systems in the future. The direction-of-arrival (DOA) …
Learning-based sparse array optimization for dual function radar-communication system
R Wang, F Xi, S Chen - Fifteenth International Conference on …, 2024 - spiedigitallibrary.org
This paper considers a multi-input multi-output (MIMO) dual functional radar communication
(DFRC) system and focuses on the joint design of transmit beamforming matrix and sparse …
(DFRC) system and focuses on the joint design of transmit beamforming matrix and sparse …
[PDF][PDF] Spatial Sectorized Neural Network for 2-D DOA Estimation in the Full Azimuth
Most existing deep learning-based direction-ofarrival (DOA) estimation methods are realized
within a limited range of DOAs per training time, posing great challenges to effective DOA …
within a limited range of DOAs per training time, posing great challenges to effective DOA …
[引用][C] A multi-sensor fusion method for static Chinese sign language recognition using DE–XGBoost
X Lu, Y Liu - International Journal of Modeling, Simulation, and …, 2023 - World Scientific
Static Chinese Sign Language Recognition (SCSLR) is an important field of research in
human–computer interaction and assistive technology. Traditional SCSLR methods usually …
human–computer interaction and assistive technology. Traditional SCSLR methods usually …