Multi-Task Deep Learning With Adaptive CSI Filtering for Joint Beamforming and Localization
IEEE AccessChannel state information (CSI) has been frequently utilized as input to deep learning models for beamforming and localization tasks in millimeter-wave systems.
Mikael Ade Krisna Respati, Byung Moo Lee
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Robust Adaptive Beamforming Algorithm for Sparse Subarray Antenna Array Based on Hierarchical Weighting. [PDF]
Micromachines (Basel), 2022 Yang J, Liu X, Tu Y, Li W.
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Low-Complexity Robust Adaptive Beamforming Based on INCM Reconstruction via Subspace Projection. [PDF]
Sensors (Basel), 2021 Duan Y, Yu X, Mei L, Cao W.
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A minimum approximate-BER beamforming approach for PSK modulated wireless systems
, 2008 A beamforming algorithm is introduced based on the general objective function that approximates the bit error rate for the wireless systems with binary phase shift keying and quadrature phase shift keying modulation schemes.
Hong, Xia +3 more
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A Robust Nonlinear Beamforming Assisted Receiver for BPSK Signalling
, 2005 Nonlinear beamforming designed for wireless communications is investigated. We derive the optimal nonlinear beamforming assisted receiver designed for binary phase shift keying (BPSK) signalling.
Wolfgang, A., Hanzo, L., Chen, S.
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FPGA-based Low Latency Inverse QRD Architecture for Adaptive Beamforming in Phased Array Radars [PDF]
Radioengineering, 2017 The main objective of this paper is to facilitate the adaptive beamforming which is one of the most challenging task in phased array radars receivers.
R. Irfan, H. Rasheed, W. A. Toor
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Robust adaptive beamforming algorithm
Tongxin xuebao, 2009 The performance of least mean squares（LMS） algorithm degraded dramatically in the presence of even slight steering vector mismatches.In order to overcome the shortage,a novel robust adaptive beamforming algorithm based on the variable diagonal loading ...
SONG Xin +3 more
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Amplitude and Phase Estimation Combined Coherence Factor Applied to Medical Ultrasound Imaging
工程科学与技术, 2015 :In medical ultrasound imaging, the minimum variance (MV) adaptive beamforming method can improve the imaging resolution at expense of imaging contrast and robustness. In order to overcome this drawback, the amplitude and phase estimation (APES) adaptive
Liu Hao-Lin, 易宗锐, 刘东权
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Complex-valued symmetric radial basis function network for beamforming
, 2009 The complex-valued radial basis function (RBF) network proposed by Chen et al. (1994) has found many applications for processing complex-valued signals, in particular, for communication channel equalization and signal detection.
Sheng Chen, Chen, Sheng
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Robust Adaptive Beamforming for Multiple Signals of Interest with Cycle Frequency Error
EURASIP Journal on Advances in Signal Processing, 2010 This paper deals with the problem of robust adaptive array beamforming by exploiting the signal cyclostationarity. Recently, a novel cyclostationarity-exploiting beamforming method has been proposed by J.-H. Lee and C.-C.
Huang Chia-Cheng, Lee Ju-Hong
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