beamforming

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beamforming

Directing the signals on transmitter/receivers with multiple antennas such as 802.11n access points. The beamforming, which improves transmission speed, is accomplished by detecting the signals and sending feedback to the transmitter, which can adjust the phase and amplitude of the signals at its antennas. Beamforming can also work with transmitters that cannot cooperate in the process by detecting incoming signals and adjusting the receiving side. See MIMO, antenna diversity, WirelessHD and WiGig.


Beamforming Bounces Signals
With highly directional transmission, such as WiGig, beamforming can bounce the signals off walls and other objects in order to reach their destination. (Image courtesy of Wireless Gigabit Alliance, www.wirelessgigabitalliance.org)
References in periodicals archive ?
Thus, a beamformer can be used to improve the signal-to-noise ratio of the speech before it is processed by the ASR system.
For instance, from a theoretical point of view, the beamformer approach assumes that the sources are not correlated.
It provides the proven technology of AB, including ClearVoice speech enhancement technology, and the Phonak UltraZoom beamformer.
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique.
A number of recent works have addressed the designs of TR-based beamformer [8]--[13].
To change the directionality of the array when transmitting, a beamformer controls the phase and relative amplitude of the signal at each transmitter, in order to create a pattern of constructive and destructive interference in the wavefront.
Hoyos, Compressed digital beamformer with asynchronous sampling for ultrasound imaging, Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.
The performance of the conventional adaptive beamformer is sensitive to the array steering vector (ASV) mismatch.
Computationally less demanding estimation procedures such as the Capon Beamformer [10] and the MUSIC [11] methods allow evaluating the DOAs of incoming radio signals by computing the location of peaks in the energy spectrum, but they feature limitations in the DOA estimation accuracy that are related to spatial resolution.
Statistical algorithms such as Capon beamformer [5] generally require several successive snapshots of data to form an estimate of the covariance matrix of interference to recover the desired signal from the noise contaminated measurements.
So the accuracy of the adaptive beamformer will be dependent on accuracy, as well as, robustness of DOA estimation algorithm.
Kyriacou, "On the design of a Butler matrix-based beamformer introducing low sidelobe level and enhanced beam-pointing accuracy," Proc.