Results 11 to 20 of about 1,760 (173)

Null Broadening Robust Adaptive Beamforming Algorithm Based on Power Estimation [PDF]

open access: yesSensors, 2022
In order to solve the problem of severely decreased performance under the situation of rapid moving sources and unstable array platforms, a null broadening robust adaptive beamforming algorithm based on power estimation is proposed in this paper.
Zhenhua Yu   +4 more
doaj   +2 more sources

Robust adaptive beamforming based on covariance matrix reconstruction with annular uncertainty set constraints. [PDF]

open access: yesPLoS ONE
A robust adaptive beamforming method based on the interference covariance matrix reconstruction with annular uncertainty set constraints is proposed to address the issues of covariance matrix mismatch and steering vector mismatch caused by the distortion
Gaoxiang Xing   +3 more
doaj   +2 more sources

Robust Polarization-Domain Adaptive Anti-Jamming via Forgetting-Factor Covariance Estimation and Adaptive Diagonal Loading [PDF]

open access: yesSensors
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
doaj   +2 more sources

Robust Adaptive Beamforming Algorithm Based on Improved Generalized Linear Combination [PDF]

open access: yesSensors
Conventional adaptive beamforming algorithms often suffer from significant performance degradation when steering vector mismatches and covariance matrix estimation errors occur.
Zhiqi Gao   +5 more
doaj   +2 more sources

Database-Guided Local Refinement and Truncated Power Estimation for LEO Uplink Anti-Interference Beamforming [PDF]

open access: yesSensors
Uplink emergency communications for LEO satellites are vulnerable to severe co-channel interference from dense terrestrial networks. This paper proposes a database-aided robust adaptive beamforming framework that treats database angles as coarse priors ...
Jian Zhang   +6 more
doaj   +2 more sources

Adaptive Null Widening Beamforming Algorithm in Spatially Correlated Color Noise

open access: yesSensors, 2022
Under the background of spatially correlated color noise, the incidence angle of a jamming signal in a high-speed moving platform rapidly changes, which leads to the degradation of the anti-interference performance and the waveform distortion of the ...
Shijing Xiao, Bin Li, Qing Wang
doaj   +1 more source

A Robust Capon Beamforming Approach for Sparse Array Based on Importance Resampling Compressive Covariance Sensing

open access: yesIEEE Access, 2019
Reconstructing the interference-plus-noise covariance matrix instead of searching for the optimal diagonal loading factor for the sample covariance matrix is a good method for calculating the adaptive beamforming coefficients.
Yuguan Hou   +5 more
doaj   +1 more source

Low-Complexity Robust Capon Beamforming Based on Reduced-Rank Technique

open access: yesJournal of Electrical and Computer Engineering, 2015
Existing robust Capon beamformers achieve robustness against steering vector errors at a high cost in terms of computational complexity. Computationally efficient robust Capon beamforming approach based on the reduced-rank technique is proposed in this ...
Zaifang Xi   +4 more
doaj   +1 more source

Neural Network-Based Robust Adaptive Beamforming [PDF]

open access: yesThe 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
When adaptive arrays are applied to practical problems, the performances of the existing adaptive algorithms are known to degrade substantially in the presence of even slight mismatches between the actual and presumed array responses to the desired signal.
Xin Song,   +3 more
openaire   +2 more sources

Fast and robust adaptive beamforming method based on complex-valued RBF neural network

open access: yesThe Journal of Engineering, 2019
The adaptive beamforming is one of the key techniques for array signal processing. However, the matrix inversion operation in the existing methods will cost a large amount of computational complexity, which results in poor real-time processing ability ...
Yuqing Li, Xiaopeng Yang, Feifeng Liu
doaj   +1 more source

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