Robust Adaptive Beamforming for General-Rank Signal Model with Positive Semi-Definite Constraint via POTDC [PDF]
, 2012 The robust adaptive beamforming (RAB) problem for general-rank signal model with an additional positive semi-definite constraint is considered. Using the principle of the worst-case performance optimization, such RAB problem leads to a difference-of ...
Khabbazibasmenj, Arash +1 more
core +1 more source
Beamforming with 1 × N Conformal Arrays
Sensors, 2022 The rapid growth of wireless spectrum access through cellular and IoT devices, for example, requires antennas with more capabilities such as being conformal and self-adapting beamforming.
Irfan Ullah +4 more
doaj +1 more source
Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars [PDF]
, 2009 We propose a new technique for multiple-input multiple-output (MIMO) radar with colocated antennas which we call phased-MIMO radar. The new technique enjoys the advantages of MIMO radar without sacrificing the main advantage of phased-array radar which ...
Aboulnasr Hassanien +2 more
core +2 more sources
Robust Adaptive Beamforming via Modified Variable Loading with Subsampling Preprocessing
International Journal of Antennas and Propagation, 2022 For robust adaptive beamforming (RAB), the variable loading (VL) technique can provide a better trade-off between robustness and adaptivity than diagonal loading (DL).
Xiangwei Chen, Weixing Sheng
doaj +1 more source
Modified null broadening adaptive beamforming: constrained optimisation approach [PDF]
, 2007 A constrained optimisation approach for null broadening adaptive beamforming is proposed. This approach improves the robustness of the traditional MVDR beamformer by broadening nulls for interference direction and the mainlobe for the desired direction ...
Capon +8 more
core +2 more sources
Robust Adaptive LCMV Beamformer Based On An Iterative Suboptimal Solution [PDF]
, 2015 The main drawback of closed-form solution of linearly constrained minimum variance (CF-LCMV) beamformer is the dilemma of acquiring long observation time for stable covariance matrix estimates and short observation time to track dynamic behavior of ...
Baocang Li, Lei Chu, Xiansheng Guo
core +2 more sources
Design of a Novel Antenna Array Beamformer Using Neural Networks Trained by Modified Adaptive Dispersion Invasive Weed Optimization Based Data [PDF]
, 2013 A new antenna array beamformer based on neural networks (NNs) is presented. The NN training is performed by using optimized data sets extracted by a novel Invasive Weed Optimization (IWO) variant called Modified Adaptive Dispersion IWO (MADIWO).
Cosmas, J +4 more
core +1 more source
Adaptive Null Widening Beamforming Algorithm in Spatially Correlated Color Noise
Sensors, 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
The Journal of Engineering, 2019 Here, the authors propose a novel robust adaptive beamforming method, which is robust to both of the covariance matrix mismatch and the steering vector estimation mismatch.
Lei Yu +3 more
doaj +1 more source
Neural Network-Based Robust Adaptive Beamforming [PDF]
The 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.
null Xin Song +3 more
openaire +1 more source