Planar array antenna radiation pattern synthesis method based on deep learning

Abstract

The invention provides a method for applying deep learning to conformal (irregular arrangement) array antenna radiation pattern synthesis. The method comprises the following steps of: 1, calculating a directional diagram sample set by utilizing a forward analytical method according to the design requirement of a directional diagram and aiming at the arrangement mode of a specific antenna array unit, and configuring a corresponding directional diagram feature tag for the sample set; and step 2, training end-to-end deep convolutional neural network structure parameters by taking the directional diagram and the directional diagram feature tag as neural network input data and taking the excitation distribution of the array unit as output, and finally obtaining a convolutional neural network with a relatively good effect. And step 3, outputting the amplitude and phase information of the corresponding array antenna unit after the trained neural network inputs the characteristic requirement of the target radiation pattern.

Description

technical field [0001] The present invention relates to the technical field of intelligent algorithm and antenna array radiation pattern synthesis, in particular to a method for synthesizing the radiation pattern of a planar array antenna based on deep learning Background technique [0002] An array antenna is composed of several antennas in a certain arrangement and excitation. Because the array antenna can achieve some special indicators that a single antenna cannot achieve, such as strong directivity, high gain, etc., it is widely used in electronic information engineering. Common analysis and synthesis methods for planar arrays include Woodward synthesis, Chebyshev synthesis, and Taylor synthesis. However, with the gradual evolution of array antenna carriers, the design of antenna arrays for specific scenarios is becoming more and more complex, and the requirements for adaptability are also higher, such as the design of conformal arrays. In such cases, several existing ...

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Problems solved by technology

Due to the wide applicability and strong portability of deep learning and its ability to deal with problems with complex models and large amounts of calculations, many researchers have also applied it to the field of antenna research to solve related problems.

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