Add to ORKGA neural network algorithm is implemented for beamforming problem. The cylindrical array with M directive MPA elements has a full coverage of 360deg. Considering the total angular coverage of 360deg in terms of 12 sectors of 30deg each and activating only some MPA elements in the related sector reduces the training set and increases the performance of the beamformer. Increasing the number of targets in different sectors has no effect on the performance of the beamformer
Beamforming techniques are commonly applied to signals captured by sensor arrays to enhance signals ...
Abstract:- This work proposes a novel approach to arbitrary phased-array with a neural adaptive synt...
In this study, a new neural network algorithm is proposed for real-time multiple source tracking pro...
In this thesis, a Neural Network (NN) based beamforming algorithm is proposed for real time target t...
Abstract—A new adaptive beamforming technique based on neural networks (NNs) is proposed. The NN tra...
In this paper, a single neuron neural network beamformer is proposed. A perceptron model is designed...
A new antenna array beamformer based on neural networks (NNs) is presented. The NN training is perf...
This report presents the development of a neural network for beam forming. This model uses Back prop...
This paper presents a neural network approach for beam-forming and interference cancellation. A thre...
A method of designing antenna arrays for a desired radiation pattern using neural networks is presen...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
The possibility of using a multilayer neural network of direct distribution in the basis of a beam f...
This paper presents a neural network approach for beam-forming and interference cancellation. A thre...
This paper considers the problem of Null-Steering beamforming using Neural Network (NN) approach for...
Fully digital phased arrays have become more common as technology advancements have driven down thei...
Beamforming techniques are commonly applied to signals captured by sensor arrays to enhance signals ...
Abstract:- This work proposes a novel approach to arbitrary phased-array with a neural adaptive synt...
In this study, a new neural network algorithm is proposed for real-time multiple source tracking pro...
In this thesis, a Neural Network (NN) based beamforming algorithm is proposed for real time target t...
Abstract—A new adaptive beamforming technique based on neural networks (NNs) is proposed. The NN tra...
In this paper, a single neuron neural network beamformer is proposed. A perceptron model is designed...
A new antenna array beamformer based on neural networks (NNs) is presented. The NN training is perf...
This report presents the development of a neural network for beam forming. This model uses Back prop...
This paper presents a neural network approach for beam-forming and interference cancellation. A thre...
A method of designing antenna arrays for a desired radiation pattern using neural networks is presen...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
The possibility of using a multilayer neural network of direct distribution in the basis of a beam f...
This paper presents a neural network approach for beam-forming and interference cancellation. A thre...
This paper considers the problem of Null-Steering beamforming using Neural Network (NN) approach for...
Fully digital phased arrays have become more common as technology advancements have driven down thei...
Beamforming techniques are commonly applied to signals captured by sensor arrays to enhance signals ...
Abstract:- This work proposes a novel approach to arbitrary phased-array with a neural adaptive synt...
In this study, a new neural network algorithm is proposed for real-time multiple source tracking pro...