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Optimization design method of Hash array antenna based on immune genetic algorithm

An immune genetic algorithm and optimization design technology, applied in the direction of genetic law, constraint-based CAD, multi-objective optimization, etc., to achieve the effect of improving the convergence speed, reducing antenna elements, and overcoming the large amount of calculation.

Pending Publication Date: 2021-12-14
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

The second method limits the minimum element spacing and aperture

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  • Optimization design method of Hash array antenna based on immune genetic algorithm
  • Optimization design method of Hash array antenna based on immune genetic algorithm
  • Optimization design method of Hash array antenna based on immune genetic algorithm

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Embodiment Construction

[0017] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0018] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0019] The embodiment o...

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Abstract

The invention discloses an optimization design method for a Hash array antenna based on an immune genetic algorithm. The method comprises the steps: firstly, randomly generating an initial group, and taking a difference value between the distances of two adjacent array elements as an individual as a population individual; using a constraint relation between a radar working wavelength lambda, an array element spacing d and the like as a vaccine for limitation; then, calculating a fitness function, if the current population has an optimal individual, ending the algorithm, otherwise, continuing to carry out selective crossover mutation operation on the current population to obtain a filial generation population; carrying out vaccination operation on the offspring population; and in order to prevent the population individuals from degenerating, performing immune selection operation on the population to obtain a new generation of population, then returning to the step of calculating the fitness function to find the optimal individual, and ending the algorithm until the optimal individual is found. According to the method, the peak sidelobe level of the antenna array can be remarkably reduced, the calculation amount is small, the convergence speed is high, and the efficiency is high.

Description

technical field [0001] The invention relates to the technical field of antenna arrays, in particular to an optimal design method of a Herba array antenna based on immune genetic algorithm. Background technique [0002] At present, there are many methods for designing antenna arrays. Traditional methods such as exhaustive method, array element method, dynamic programming method, genetic algorithm in intelligent algorithm, particle swarm algorithm, convex optimization algorithm, etc., have been widely used. . In recent years, with the development of big data technology, its application fields mainly include function optimization, combinatorial optimization, job scheduling, intelligent control, robot science, image processing, artificial life, machine learning, etc. This method adopts the group search technology to express the population as a set of problem solutions. Through a series of genetic operations, such as selection, crossover and mutation, the current population is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/12G06F111/04G06F111/06
CPCG06F30/27G06N3/126G06F2111/06G06F2111/04
Inventor 马月红张亭刘佳剧畅洋刘永泽崔琳
Owner SHIJIAZHUANG TIEDAO UNIV
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