An Antenna Optimization Method Based on Method of Moments Combined with Confidence Region Space Mapping Algorithm

Abstract

The invention discloses an antenna optimization method capable of combining a moment method with a confidence region space mapping algorithm. The method comprises the following steps that: firstly, a rough model for an antenna space mapping algorithm is established, the construction of the rough model adopts a response surface approximation method based on a Kriging interpolation, the rough model is optimized, and the optimal design parameter of the rough model is determined; a fine model adopts a full wave analysis moment method, the response of the rough model is enabled to approach to the response of the fine model through parameter extraction, and a mapping relationship between a rough model parameter and a fine model parameter is established; and the optimal design parameter of the rough model and the inverse mapping of the established mapping relationship are utilized to obtain the predication parameter of the fine model, and if the predication parameter of the fine model does not meet design requirements, iterative update is carried out on the mapping relationship until the predication parameter of the fine model meets the design requirements. By use of the method, the parameter of the designed antenna is integrally optimized, and time is saved on the premise that accuracy is guaranteed.

Description

[0001] a technical field

[0002] The invention belongs to the technical field of antenna optimization design, in particular to an antenna optimization method combining the method of moments and space mapping of confidence domains.

[0003] Two background technology

[0004] In the antenna design process, when the antenna structure is complex and there are many design parameters, the optimization time is unacceptable, and sometimes even the antenna with the required performance cannot be obtained. Aiming at these problems in antenna design, the space mapping algorithm is adopted, which converts the traditional time-consuming optimization problem into the optimization of a fast and efficient alternative model through the mapping relationship, avoiding the direct optimization of the antenna model by using time-consuming full-wave electromagnetic simulation. optimization, which can greatly reduce design time.

[0005] Due to the complexity of the antenna structure, it is difficul...

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