Results 151 to 160 of about 27,142 (205)
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Robust adaptive beamforming

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.
H. Cox, R. Zeskind, M. Owen
openaire   +3 more sources

Adaptive beamforming

International Journal of Adaptive Control and Signal Processing, 1989
AbstractAn adaptive beamformer is a system devised to isolate a desired signal from interfering signals which are spatially disparate but which occupy the same spectral band. Traditionally these systems have been employed primarily in sonar and radar.
Allan O. Steinhardt, Barry D. Van Veen
openaire   +1 more source

Adaptive subarrays beamforming

2013 MTS/IEEE OCEANS - Bergen, 2013
Rank 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.
Gilles Gaonach, Marie Gehant
openaire   +1 more source

Apodized adaptive beamformer

Journal of Medical Ultrasonics, 2017
A number of studies aimed at improvement of ultrasound image quality, such as spatial resolution and contrast, have been conducted. Apodization is known as an important factor that determines image quality. However, in the case of amplitude and phase estimation (APES) beamforming, a kind of adaptive beamformer that has been employed in medical ...
openaire   +2 more sources

Adaptive-adaptive subarray narrowband beamforming

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
A two-stage adaptive narrowband beamformer is introduced. Adaptive beamformers give high-resolution angle-of-arrival estimates, but at considerable computational cost. To reduce the computational cost, N. Owsley and D. Abraham (1989) have introduced a two-stage beamformer-conventional first-stage, adaptive second-stage-which gives near full adaptive ...
J.A. Nuttall, P. Willett
openaire   +1 more source

Adaptive beamforming for nonstationary arrays

The Journal of the Acoustical Society of America, 2002
Adaptive 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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A robust adaptive Capon beamforming

Signal Processing, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Hongqing   +2 more
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Transformation-based adaptive array beamforming

Signal Processing, 2000
Recently, the generalized eigenspace-based beamformer (GEIB) was proposed to combat the pointing errors and to enhance the convergence speed. The weight vector of the GEIB is generated by projecting the weight vector of the linearly constrained minimum variance beamformer (LCMVB) onto a modified signal subspace. Unfortunately, numerical instability and
Yu, Jung-Lang, Leou, Maw-Lin
openaire   +1 more source

Systolic Adaptive Beamforming

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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Multichannel Adaptive Beamforming

2004
Multiantenna transceivers have received a considerable attention when developing next generation wireless communication systems. In this chapter we discuss different alternatives of utilizing multiple antennas in commercial wireless communication systems. By multichannel adaptive beamforming we understand a concept where the receiver estimates multiple
Jyri Hämäläinen   +2 more
openaire   +1 more source

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