Antenna design method based on neural network

A neural network and design method technology, applied in the field of antenna design based on neural network, can solve the problems of high antenna design time cost, hindering the direct application of intelligent optimization algorithms, and long time spent in antenna simulation, so as to improve antenna design efficiency, The effect of reducing the number of electromagnetic simulations and improving prediction accuracy and convergence speed
CN109086531AActive Publication Date: 2018-12-25CENT SOUTH UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CENT SOUTH UNIV
Publication Date
2018-12-25

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Abstract

The invention discloses an antenna design method based on a neural network, comprising the steps of constructing an antenna initial model; an RBF neural network and PSO algorithm parameters are initialized; several groups of antenna design parameters are selected and input into the initial antenna model to obtain the corresponding antenna model response; the fitness function value of RBF neural network parameters and the optimal value of algorithm are calculated; the optimal parameters of RBF neural network are obtained; the RBF neural network model is tested and optimized; the optimized RBF neural network model is used as the proxy model to simulate the response of antenna design parameters, and the antenna design is completed. The invention can effectively improve the prediction accuracyand the convergence speed of the neural network, The optimal neural network is used as a proxy model to fit the electromagnetic simulation data of antenna design parameters, which can replace the time-consuming electromagnetic simulation to achieve the instantaneous approximate calculation from antenna structural parameters to electromagnetic response, reduce the number of electromagnetic simulation, reduce the computational cost and improve the efficiency of antenna design.
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Description

technical field

[0001] The invention specifically relates to a neural network-based antenna design method. Background technique

[0002] With the vigorous rise of various communication technologies, wireless communication systems are developing rapidly towards multi-functionality and large capacity. The development of modern wireless communication systems not only requires antennas to be light-weight, low-cost, easy to manufacture, and easy to integrate, but also puts forward more requirements for antenna miniaturization, wide-band, multi-band, conformal, and integrated designs.

[0003] Conventional antenna design is generally based on regular structures, using existing empirical formulas, combined with the design experience of antenna engineers and physical measurement and debugging. However, it is obvious that the existing antenna design process has a long design cycle and is very dependent on the designer's personal quality and experience; at the same time, more importa...

Claims

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