Fractal antenna design method based on quantum brainstorm optimization algorithm

Abstract

The invention discloses a fractal antenna design method based on a quantum brainstorm optimization algorithm, and the method comprises the steps: generating a fractal antenna design requirement, taking at least two design parameters of a corresponding copper-shaped fractal antenna as initial values, carrying out the sub-variance clustering of the initial values, obtaining a central value of typical design tolerance, and correlating entanglement crossing by adopting a quantum brainstorm algorithm to obtain a corresponding graphene central value, performing optimization, finally determining a true value of an error central value, and outputting a graphene shape corresponding to the copper shape. Wherein the initial value is subjected to hybrid processing through a sub-variance clustering algorithm and a quantum brainstorm algorithm, implicit tolerance feature information is deeply extracted according to a design optimization relation of a high-dimensional entanglement correlation model in a quantum theory, a cutting size is confirmed, and new plane evolution power is provided, so that an algorithm individual can escape from local optimum, and the problems that the feeder line of explosion-proof equipment is long and the exposed area of the antenna is small are solved.

Description

technical field [0001] The invention relates to the technical field of antennas, in particular to a fractal antenna design method based on a quantum brainstorming optimization algorithm. Background technique [0002] As a high-demand energy source, coal mines have invested a lot of manpower and material resources at home and abroad to collect them. However, because mine operations are extremely deep underground, the deepest can reach about 1,000 meters, and mine safety measures are difficult to achieve. Under such circumstances, coal mine accidents such as collapse, flooding, and gas explosions still occur every year. For this reason, there is a solution to use robots to go down the mine to avoid manpower to go down the mine, so that remote control can be realized, which greatly reduces possible personnel injuries and improves operation safety. The 6G that has been promoted in recent years can play a role at this time, but the robot itself will also emit various electromagn...

AI Technical Summary

Problems solved by technology

The disadvantage is that the process error is often large, resulting in large dimensional changes, and it is difficult to meet the factory requirements.

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