Optimization method and system of ultra wide band RCS reduction metasurface array and medium

Abstract

The invention discloses an optimization method and system for an ultra-wideband RCS reduced metasurface array and a medium. The method comprises the steps of determining RCS phases and amplitudes of diffuse reflection structure units with different heights and different square ring side length combinations; rCS of different initial arrays is calculated through array factors, a metasurface array containing a multi-element subarray is optimized through a genetic algorithm, further optimization is carried out through verification of a space mapping algorithm and a full-wave analysis method, and rapid design of the ultra-wideband radar scattering cross section reduction metasurface is achieved. Compared with a traditional metasurface algorithm optimization design method, the method not only considers the influence of subarray coupling, but also greatly shortens the verification time of electromagnetic simulation software, has the advantages of being simple in programming and high in calculation efficiency, and has high practical value.

Description

technical field [0001] The invention relates to the technical field of RCS reduction, in particular to an optimization method, system and medium of an ultra-wideband RCS reduction metasurface array. Background technique [0002] The radar cross section is a physical quantity that quantitatively characterizes the scattering characteristics of the target, and it is the equivalent scattering area of ​​the target when it is illuminated by incident radar waves. In modern warfare, stealth and anti-stealth technology has become a technology that various military powers are vying to develop. [0003] The traditional metasurface algorithm optimization design method has several major disadvantages: First, the selection of optimization variables is small, resulting in a low degree of design freedom, and it is impossible to design a metasurface with ultra-wideband RCS reduction. Actual battlefield radars have ultra-wideband detection capabilities. Traditional methods The designed steal...

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Problems solved by technology

[0003] The traditional metasurface algorithm optimization design method has several major disadvantages: First, the selection of optimization variables is small, resulting in a low degree of design freedom, and it is impossible to design a metasurface with UWB RCS reduction. Actual battlefield radars have UWB detection capabilities. Traditional methods The designed stealth metamaterial is difficult to meet the increasingly mature radar detection technology

Secondly, the influence of mutual coupling between units and sub-arrays is not considered, and the optimized results have certain errors from the simulation results, resulting in the need for multiple optimization simulation verifications, which is time-consuming and laborious.

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