In scenarios where mainlobe interference and steering vector (SV) mismatch coexist, conventional robust adaptive beamforming techniques are prone to main-beam distortion, desired signal self-cancellation, and degradation of output performance. To address
Buma Xiao +4 more
doaj +1 more source
Low-latency and robust beamforming are vital for sustaining signal quality and spectral efficiency in emerging high-mobility 5G and future 6G wireless networks.
Mustafa Mayyahi +3 more
doaj +1 more source
CAWE-ACNN Algorithm for Coprime Sensor Array Adaptive Beamforming
This paper presents a robust adaptive beamforming algorithm based on an attention convolutional neural network (ACNN) for coprime sensor arrays, named the CAWE-ACNN algorithm.
Fulai Liu +5 more
doaj +1 more source
Self-Calibrated Compound-Gaussian Regularized Adaptive Beamforming for Robust Ocean Remote Sensing
Ocean remote sensing is essential for marine surveillance, ship detection, environmental monitoring, offshore safety, and underwater target observation.
Mohammad Kamrul Hasan +7 more
doaj +1 more source
A Novel Generalized Beamforming Layer Set for Deep Learning Based Acoustic Cavitation Detection
Cavitation is a major issue in hydraulic machinery, causing mechanical damage, efficiency loss and potential system failure. Early detection of cavitation is crucial for predictive maintenance, yet conventional monitoring methods based on pressure and ...
Fangfang Zhu-Zhou +5 more
doaj +1 more source
SINR Maximizing Distributionally Robust Adaptive Beamforming
This paper addresses the robust adaptive beamforming (RAB) problem via the worst-case signal-to-interference-plus-noise ratio (SINR) maximization over distributional uncertainty sets for the random interference-plus-noise covariance (INC) matrix and desired signal steering vector.
Kiarash Hassas Irani +2 more
openaire +4 more sources
Blind Interference Suppression with Uncalibrated Phased-Array Processing
As the number of devices using wireless communications increases, the amount of usable radio frequency spectrum becomes increasingly congested. As a result, the need for robust, adaptive communications to improve spectral efficiency and ensure reliable ...
Lauren O. Lusk, Joseph D. Gaeddert
doaj +1 more source
Robust Adaptive Beamforming with Sensor Position Errors Using Weighted Subspace Fitting-Based Covariance Matrix Reconstruction. [PDF]
Chen P, Yang Y, Wang Y, Ma Y.
europepmc +1 more source
Advancing Ultrasound Beamforming With Deep Learning: A Comprehensive Review of Methods, Datasets, Benchmarks, and Computational Challenges. [PDF]
Hadri H, Fail A, Sadik M.
europepmc +1 more source
Hybrid Robust Beamforming Optimization for LEO Satellite Communications Under DOA Estimation Errors in Spectrum Sharing Scenarios. [PDF]
Wang Y, Xie X, Jia J.
europepmc +1 more source

