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Novel Robust Adaptive Beamforming

2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 2012
Diagonal loading (DL) is one of the widely used techniques against the errors due to steering vector mismatch and finite sample effect. Recently, a variable loading (VL) has shown its advantages over the DL due to using different loading for each eigenvalue of the correlation matrix of the received array data rather than a fixed loading for all of the ...
Chia-Cheng Huang, Ju-Hong Lee
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Fast rank-adaptive beamforming

Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410), 2002
This paper is concerned with the construction of an adaptive beamformer, which uses the dominant subspace information of a sample covariance matrix. We assume that the sample covariance matrix and its eigenvalue decomposition (EVD) are to be updated as data arrive.
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Adaptive Beamforming and Postfiltering

2008
In this chapter, we explore many of the basic concepts of array processing with an emphasis on adaptive beamforming for speech enhancement applications. We begin in Sect. 47.1 by formulating the problem of microphone array in a noisy and reverberant environment. In Sect.
Sharon Gannot, Israel Cohen
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Adaptive Digital Beamforming

2012
DBF architectures provide significant functionality enhancements for phased array radar. At the current state of digital technology, element-level DBF is often impractical for large arrays operating at high frequencies, so subarray level implementations are commonly used to reduce the digital receiver count.
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Single-Snapshot Adaptive Beamforming

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018
Adaptive beamformers are sensitive to model mismatch, especially when the number of training samples is small or the training samples are contaminated by the signal component. In this paper, we consider an extreme scenario where only a single signal-contaminated snapshot is available for adaptive beamformer design.
Yujie Gu, Yimin D. Zhang
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Beamspace adaptive beamforming for ultrasound imaging

IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2009
Applying the Capon adaptive beamformer in medical ultrasound imaging results in enhanced resolution by improving the interference-suppressing capabilities of the array. This improvement comes at the expense of an increased computational complexity. We have investigated the application of a beamspace adaptive beamformer for medical ultrasound imaging ...
Carl-Inge Colombo, Nilsen   +1 more
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Adaptive focused beamforming

1989
Sonar (sound navigation ranging) is an apparatus that detects the presence and location of submerged objects (as a submarine) by means of sonic waves reflected back from or produced by an object.
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Deep Learning for Fast Adaptive Beamforming

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
The real-time nature that makes diagnostic ultrasonography so appealing to clinicians imposes strong constraints on the computational complexity of image reconstruction algorithms. As such, these typically rely on traditional delay-and-sum beamforming, a low-complexity approach that unfortunately comes at the cost of reduced image quality as compared ...
Luijten, Ben   +6 more
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Symmetrical Component Adaptive Beamforming

The Journal of the Acoustical Society of America, 1968
The theory of symmetrical components, long used in connection with fault-current analyses of multiphase power-distribution systems, has been applied to the problem of adaptive beamforming with the result that the response of a spatially diverse array of sensors can be made virtually free of the effects of the stationary part of the surrounding noise ...
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Universal switching adaptive beamforming

The Journal of the Acoustical Society of America
An adaptive beamformer may be thought of as trading white noise gain for interferer suppression. The beamformer can respond to changing environmental statistics through updates to the sample covariance matrix. In time-varying environments, adaptive beamformers are frequently used with pre-determined sliding windows or forgetting factors for such sample
Manan Mittal   +4 more
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