Results 101 to 110 of about 2,822,972 (301)
Model-Switched Beamformer with Large Dynamic Range
International Journal of Antennas and Propagation, 2014 The strong desired signal will be mitigated due to “self-nulling” for the adaptive beamformer, even if the array calibration is used. The proposed methodology switches the models between phased array and adaptive array.
Zeng Hao +3 more
doaj +1 more source
Switchable Deep Beamformer [PDF]
arXiv, 2020 Recent proposals of deep beamformers using deep neural networks have attracted significant attention as computational efficient alternatives to adaptive and compressive beamformers. Moreover, deep beamformers are versatile in that image post-processing algorithms can be combined with the beamforming. Unfortunately, in the current technology, a separate
arxiv
VMD‐FBCCA classification method for SSVEP brain–computer interfaces
Brain‐X, Volume 3, Issue 1, March 2025.A steady‐state visually evoked potential (SSVEP) is a response to visual stimuli frequencies, but brain–computer interfaces (BCIs) struggle to distinguish it from spontaneous signals. This study proposes the variational mode decomposition–based filter bank canonical correlation analysis (VMD‐FBCCA) algorithm to improve recognition accuracy by ...
Ping Tan +3 more
wiley +1 more source
Adaptive Beamforming With Sidelobe Suppression by Placing Extra Radiation Pattern Nulls
IEEE Transactions on Antennas and Propagation, 2019 A new iterative adaptive beamforming (ABF) algorithm based on conventional beamformers is proposed in order not only to steer the main lobe toward the desired signal and place radiation pattern nulls toward respective interference signals but also to ...
Ioannis P. Gravas +4 more
semanticscholar +1 more source
Enhancing Adaptive Beamforming in 3-D Space Through Self-Improving Neural Network Techniques
IEEE Open Journal of the Communications SocietyIn the rapidly evolving domain of wireless networks, adaptive beamforming stands as a cornerstone for achieving higher data rates, enhanced network capacity, and reduced latency.
Ioannis Mallioras +4 more
doaj +1 more source
URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming [PDF]
arXiv, 2022 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
Harnessing Free Space Optics for Efficient 6G Fronthaul Networks: Challenges and Opportunities
Engineering Reports, Volume 7, Issue 3, March 2025.The article investigates the potential of free space optics (FSO) for efficient 6G fronthaul networks. FSO is a promising solution to meet the demanding requirements of future 6G applications, either in terrestrial or in nonterrestrial communications. ABSTRACT As standardization work is ongoing for the upcoming sixth generation of cellular networking ...
Abdulhalim Fayad +3 more
wiley +1 more source
Adaptive Beamforming Based on Compressed Sensing with Smoothed l0 Norm
International Journal of Antennas and Propagation, 2015 An adaptive beamforming based on compressed sensing with smoothed l0 norm for large-scale sparse receiving array is proposed in this paper. Because of the spatial sparsity of the arriving signal, compressed sensing is applied to sample received signals ...
Yubing Han, Jian Wang
doaj +1 more source
, 2006 An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM).
Chen, S., Du, H.Q, Hanzo, L.
core
, 2007 The network performance of a frequency division duplex and time division duplex (TDD) code division multiple access (CDMA)-based system is investigated using system parameters similar to those of the Universal Mobile Telecommunication System.
Blogh, J.S., Hanzo, L., Ni, S.
core +1 more source