Diagonal Loading Beamforming Based on Aquila Optimizer
Traditional beamforming algorithms are only applicable to ideal environments. When the array antenna receives data under circumstances of small snapshots or large signal-to-noise ratio(SNR), noise eigenvalues of classic sample matrix inversion(SMI) and ...
Chao Liu, Jiaqi Zhen
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Steering vector errors and diagonal loading [PDF]
Diagonal loading is one of the most widely used and effective methods to improve robustness of adaptive beamformers. The authors consider its application to the case of steering vector errors, i.e. when there exists a mismatch between the actual steering vector of interest and the presumed one. More precisely, the problem addressed is that of optimally
Vincent, François, Besson, Olivier
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Broadband Beamforming Using the Least Square Method Improved via Adaptive Diagonal Loading [PDF]
The least square method (LSM) is a commonly used beamforming method. However, it limits the beamforming frequency bandwidth and is vulnerable to noise; therefore, diagonal loading is used to overcome these limitations.
Euiho Shin +4 more
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Steering vector uncertainties and diagonal loading [PDF]
In this paper, we study the performance of diagonally loaded beam-formers in the presence of steering vector errors i.e. when there exists a mismatch between the actual steering vector of interest and the presumed one. We consider the problem of optimally selecting the loading level with a view to maximise the signal to interference plus noise ratio ...
Vincent, François, Besson, Olivier
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On robust Capon beamforming and diagonal loading
The Capon (1969) beamformer has better resolution and much better interference rejection capability than the standard (data-independent) beamformer, provided that the array steering vector corresponding to the signal of interest (SOI) is accurately known.
Jian Li 0001, Petre Stoica, Zhisong Wang
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Robust Adaptive Beamforming Algorithm Based on Improved Generalized Linear Combination [PDF]
Conventional adaptive beamforming algorithms often suffer from significant performance degradation when steering vector mismatches and covariance matrix estimation errors occur.
Zhiqi Gao +5 more
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Robust Polarization-Domain Adaptive Anti-Jamming via Forgetting-Factor Covariance Estimation and Adaptive Diagonal Loading [PDF]
To address robust polarization-domain adaptive anti-jamming for dual-polarized radars with limited secondary data and time-varying interference, this paper proposes a covariance-reliability-driven MVDR framework based on forgetting-factor covariance ...
Yuancong Xiong +4 more
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MVDR Algorithm Based on Estimated Diagonal Loading for Beamforming [PDF]
Beamforming algorithm is widely used in many signal processing fields. At present, the typical beamforming algorithm is MVDR (Minimum Variance Distortionless Response). However, the performance of MVDR algorithm relies on the accurate covariance matrix. The MVDR algorithm declines dramatically with the inaccurate covariance matrix. To solve the problem,
Yuteng Xiao +4 more
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A modified near-field target localization method based on vector diagonal loading [PDF]
Addressing the issue of poor positioning performance of the near-field MVDR (Minimum Variance Distance Reciprocal) algorithm due to limited sampling data, this study proposes a combination of vector hydrophones and an improved angle loading technique to ...
Qing Ji +4 more
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In Vivo hip joint loading during cross-country skiing on a simulator [PDF]
BackgroundReturn to sports following total hip arthroplasty (THA) is important to an increasingly younger and active clientele. However, knowledge about in vivo joint forces during sports is scarce and often only estimated.
Daniela Aschenbrenner +16 more
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