Results 1 to 10 of about 234,339 (94)
Abstract In this article, robust beamforming (BF) and artificial noise (AN) design method is proposed for multiuser broadcast secure transmission under secrecy outage probability (SOP) constraints. A special scenario is assumed that the transmitter cannot obtain the accurate channel state information (CSI) of the users' channel, and different users ...
Li Yao+3 more
wiley +1 more source
Abstract This paper investigates moving networks of Unmanned Aerial Vehicles to extend connectivity and guarantee data rates in the 5G by analysing possible hovering locations based on limitations such as flight time and coverage. The authors provide analytic bounds on the requirements in terms of connectivity extension for vehicular networks served by
Dalia Popescu+2 more
wiley +1 more source
Communication, sensing, computing and energy harvesting in smart cities
Abstract A smart city provides diverse services based on real‐time data obtained from different devices deployed in urban areas. These devices are largely battery‐powered and widely placed. Therefore, providing continuous energy to these devices and ensuring their efficient sensing and communications are critical for the wide deployment of smart cities.
Yusha Liu, Kun Yang
wiley +1 more source
Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-Rank Signal Model [PDF]
The worst-case robust adaptive beamforming problem for general-rank signal model is considered. This is a nonconvex problem, and an approximate version of it (obtained by introducing a matrix decomposition on the presumed covariance matrix of the desired signal) has been well studied in the literature.
arxiv +1 more source
Joint Robust Transmit/Receive Adaptive Beamforming for MIMO Radar Using Probability-Constrained Optimization [PDF]
A joint robust transmit/receive adaptive beamforming for multiple-input multipleoutput (MIMO) radar based on probability-constrained optimization approach is developed in the case of Gaussian and arbitrary distributed mismatch present in both the transmit and receive signal steering vectors.
arxiv +1 more source
Deep Long Short-Term Memory Adaptive Beamforming Networks For Multichannel Robust Speech Recognition [PDF]
Far-field speech recognition in noisy and reverberant conditions remains a challenging problem despite recent deep learning breakthroughs. This problem is commonly addressed by acquiring a speech signal from multiple microphones and performing beamforming over them. In this paper, we propose to use a recurrent neural network with long short-term memory
arxiv +1 more source
URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming [PDF]
The computational complexity of the conventional adaptive beamformer is relatively large, and the performance degrades significantly due to the model mismatch errors and the unwanted signals in received data. In this paper, an efficient unwanted signal removal and Gauss-Legendre quadrature (URGLQ)-based covariance matrix reconstruction method is ...
arxiv
A Novel Blind Adaptive Beamformer with Robustness against Mutual Coupling and Miscalibration Effects [PDF]
Beamforming techniques utilized either at the transmitter or the receiver terminals have achieved superior quality-of-service performances from both the multi-antenna wireless communications systems, communications intelligence and radar target detection perspectives.
arxiv +1 more source
On Smart Morphing Wing Aircraft Robust Adaptive Beamforming [PDF]
The smart morphing wing aircraft (SMWA) is a highly adaptable platform that can be widely used for intelligent warfare due to its real-time variable structure. The flexible conformal array (FCA) is a vital detection component of SMWA, when the deformation parameters of FCA are mismatched or array elements are mutually coupled, detection performance ...
arxiv
A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso+6 more
wiley +1 more source