Results 21 to 30 of about 10,533 (195)

A novel joint transmit beamforming and receive time switching strategy for MISO SWIPT system

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
In multi-antenna simultaneous wireless information and power transfer (SWIPT) system, beamforming strategy has been widely analyzed due to the increasing signal strength.
Lin Ma   +4 more
doaj   +1 more source

The Dynamic Beamformer

open access: yes, 2012
Beamforming is one of the most commonly used methods for estimating the active neural sources from the MEG or EEG sensor readings. The basic assumption in beamforming is that the sources are uncorrelated, which allows for estimating each source independent of the others.
Ali Bahramisharif   +4 more
openaire   +2 more sources

Near-Field Beamforming Algorithms for UAVs

open access: yesSensors, 2023
This study presents three distributed beamforming algorithms to address the challenges of positioning and signal phase errors in unmanned aerial vehicle (UAV) arrays that hinder effective beamforming.
Yinan Zhang   +5 more
doaj   +1 more source

Open-Loop Beamforming Technique for MIMO System and Its Practical Realization

open access: yesInternational Journal of Antennas and Propagation, 2011
The concept of close-loop beamforming for MIMO system was well known proposed the singular value decomposition on channel matrix. This technique can improve the capacity performance, but the cost of feedback channel and the complexity processing discard
Peerapong Uthansakul   +2 more
doaj   +1 more source

New perspective on single-radiator multiple-port antennas for adaptive beamforming applications. [PDF]

open access: yesPLoS ONE, 2017
One of the most challenging problems in recent antenna engineering fields is to achieve highly reliable beamforming capabilities in an extremely restricted space of small handheld devices.
Gangil Byun, Hosung Choo
doaj   +1 more source

An applicable 5.8 GHz wireless power transmission system with rough beamforming to Project Loon

open access: yesICT Express, 2016
In recent, Google proposed the Project Loon being developed with the mission of providing internet access to rural and remote areas using high-altitude balloons.
Chang-Jun Ahn
doaj   +1 more source

Beamformers for sparse recovery

open access: yes2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In sparse recovery from measurement data a common approach is to use greedy pursuit reconstruction algorithms. Most of these algorithms have a correlation filter for detecting active components in the sparse data. In this paper, we show how modifications can be made for the greedy pursuit algorithms so that they use beamformers instead of the standard ...
Martin Sundin   +2 more
openaire   +3 more sources

Eigenvalue Beamforming Using a Multirank MVDR Beamformer and Subspace Selection [PDF]

open access: yesIEEE Transactions on Signal Processing, 2008
We derive eigenvalue beamformers to resolve an unknown signal of interest whose spatial signature lies in a known subspace, but whose orientation in that subspace is otherwise unknown. The unknown orientation may be fixed, in which case the signal covariance is rank-1, or it may be random, in which case the signal covariance is multirank.
Ali Pezeshki   +4 more
openaire   +2 more sources

Beamforming With Uncertain Weights [PDF]

open access: yesIEEE Signal Processing Letters, 2007
In this letter, we show that worst-case robust beamforming, with uncertain weights subject to multiplicative variations, can be cast as a convex optimization problem. We interpret this problem as a weighted complex l1-regularization of the nominal beamforming problem, and show that it can be solved with the same computational complexity as nominal ...
Almir Mutapcic   +2 more
openaire   +1 more source

Experimental Investigation of Distributed Array Adaptive Beamforming for Interference Suppression in UAV Swarms

open access: yesDrones
This paper investigates the use of adaptive beamforming algorithms for communication systems and sensing networks using motion-dynamic distributed random arrays. These distributed arrays include swarms of unmanned aerial vehicles (UAVs) and are formed by
Rio King   +3 more
doaj   +1 more source

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