Flat-top beam forming method based on neural network
A beamforming method and neural network technology, applied in the field of microwave energy transmission, can solve problems such as difficult real-time adjustment and a large amount of time, and achieve a strong real-time effect
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[0059] With the development of modern technology, neural networks are widely used due to their powerful adaptive learning and generalization capabilities. Neural network has the ability to approximate nonlinear functions, which is based on the existence theory of Kolmogorov mapping network. The most widely used information processing operation in neural networks is the mathematical map, given an input vector X, the network should produce an output vector. Compared with traditional methods, the neural network does not require complex mathematical modeling and analysis, but only requires a large amount of data for training; at the same time, for a trained neural network, given an input, it can quickly calculate a result, which is more real-time. A neural network-based flat-hat beamforming method provided in this embodiment includes the following steps:
[0060] S1: collect sample data;
[0061]S2: Construct a convolutional neural network model;
[0062] S3: Use the sample dat...
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