Results 101 to 110 of about 123,247 (141)
Universal Deep Beamformer for Variable Rate Ultrasound Imaging [PDF]
arXiv, 2019 Ultrasound (US) imaging is based on the time-reversal principle, in which individual channel RF measurements are back-propagated and accumulated to form an image after applying specific delays. While this time reversal is usually implemented as a delay-and-sum (DAS) beamformer, the image quality quickly degrades as the number of measurement channels ...
arxiv
Null broadened–deepened array antenna beamforming for GNSS jamming mitigation in moving platforms
ICT Express, 2022 Steering vector and covariance matrix estimation mismatch along with moving jammer/platform, can affect the performance of null-steering beamformer. In this paper, by utilizing null-widening, null-deepening and diagonal loading shrinkage in space–time ...
Omid Sharifi-Tehrani +2 more
doaj
Robust adaptive beamforming algorithm
Tongxin xuebao, 2009 The performance of least mean squares（LMS） algorithm degraded dramatically in the presence of even slight steering vector mismatches.In order to overcome the shortage,a novel robust adaptive beamforming algorithm based on the variable diagonal loading technique was proposed.The signal steering vector was obtained via the gradient-descent method and the
SONG Xin +3 more
openaire +2 more sources
An Integrated Real-Time Beamforming and Postfiltering System for Nonstationary Noise Environments
EURASIP Journal on Advances in Signal Processing, 2003 We present a novel approach for real-time multichannel speech enhancement in environments of nonstationary noise and time-varying acoustical transfer functions (ATFs).
Gannot Sharon +2 more
doaj +1 more source
A Real-Time Adaptive Station Beamforming Strategy for Next Generation Phased Array Radio Telescopes
SensorsThe next generation phased array radio telescopes, such as the Square Kilometre Array (SKA) low frequency aperture array, suffer from RF interference (RFI) because of the large field of view of antenna element.
Guoliang Peng +4 more
doaj +1 more source
Adaptive beamforming scheme for coexistence of 5G base station and radar altimeter
ICT ExpressIn this paper, an adaptive beamforming protection scheme is proposed to enable the coexistence between radar altimeter operating in 4.2 to 4.4 GHz and potential 5G cellular services in 3.7– 4.0 GHz.
Jiaqi Li, Seung-Hoon Hwang
doaj
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IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987
Adaptive beamforming algorithms can be extremely sensitive to slight errors in array characteristics. Errors which are uncorrelated from sensor to sensor pass through the beamformer like uncorrelated or spatially white noise. Hence, gain against white noise is a measure of robustness.
M.M. Owen, Robert M. Zeskind, Henry Cox
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Adaptive beamforming algorithms can be extremely sensitive to slight errors in array characteristics. Errors which are uncorrelated from sensor to sensor pass through the beamformer like uncorrelated or spatially white noise. Hence, gain against white noise is a measure of robustness.
M.M. Owen, Robert M. Zeskind, Henry Cox
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Systolic Adaptive Beamforming [PDF]
, 1993 In this chapter we address the important subject of adaptive beamforming or “null-steering” as applied to an adaptive antenna array for the purposes of noise cancellation. The chapter is not intended as a general review or tutorial discussion of the subject. It is concerned solely with the application of systolic arrays to adaptive beamforming networks
T. J. Shepherd, J. G. McWhirter
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Adaptive subarrays beamforming
2013 MTS/IEEE OCEANS - Bergen, 2013Rank reduction prior to adaptive beamforming is required for large arrays in order to reduce the required number of samples. It is often processed by a conventional beamforming applied on a number of subarrays partitioning the whole array. The subarrays beams are then adaptively recombined by a second stage of beamforming.
Marie Gehant, Gilles Gaonach
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Adaptive beamforming for nonstationary arrays
The Journal of the Acoustical Society of America, 2002Adaptive beamformers automatically adjust to the input data on the sensors in an attempt to maximize the bearing resolution of a signal and minimize the effects of noise or interfering signals. To the author’s knowledge, all adaptive beamformers currently available in the literature assume that the sensors are stationary over the time required to ...
Michael V. Greening, Jane E. Perkins
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