Method for optimizing electronic component parameters in antenna broadband matching network by adopting genetic-simulated annealing combination

Abstract

The invention discloses a method for optimizing electronic component parameters in an antenna broadband matching network by adopting the genetic-simulated annealing combination. According to the method, on the basis of a genetic algorithm, secondary optimization is carried out by a simulated annealing algorithm, so that the defect of poor fine tuning capacity of the genetic algorithm is overcome; and meanwhile, an optimum individual obtained by adopting the genetic algorithm to optimize is used as an initial value of a variable to be optimized by the simulated annealing algorithm, so that the independence of the simulated annealing algorithm on the initial value is avoided. Moreover, aiming at the optimization problem of the antenna matching network, the combination method adopts a multi-target parallel selection method for giving consideration to the requirements of two important technical indexes of the antenna standing wave ratio and the conversion efficiency, introduces the self-adaptive adjustment of crossover and mutation operators and is beneficial for improving the calculating speed and efficiency of the algorithm. Meanwhile, an optimal solution retention strategy is introduced so as to prevent the optimum individual from losing.

Description

technical field [0001] The invention relates to a method for optimizing parameters of an antenna broadband matching network in the field of electromagnetics, and more particularly refers to a method for optimizing parameters of electronic components in an antenna broadband matching network by using a genetic-simulated annealing combination. Background technique [0002] In modern electronic equipment, due to many limiting factors such as antenna performance requirements and installation conditions, it is often difficult for a single antenna design to meet the design requirements of broadband and miniaturization at the same time in many cases. For an antenna with a fixed structure, designing a broadband matching network is an effective technical means to further improve the antenna's miniaturization and broadband performance. [0003] At present, there are mainly three design methods of broadband matching network: analytical method, numerical method and intelligent optimizati...

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Problems solved by technology

[0004] The purpose of the present invention is to propose a method for optimizing the parameters of electronic components in the antenna broadband matching network by using the genetic-simulated annealing combination method. Parameter value, the optimal solution in the genetic algorithm is obtained by the genetic algorithm, and then the secondary optimization is carried out through the simulated annealing algorithm, which overcomes the shortcoming of the poor fine-tuning ability of the genetic algorithm, and at the same time uses the optimal solution in the genetic algorithm as a simulation The initial value of the variable to be optimized by the annealing algorithm, avoiding the dependence of the simulated annealing algorithm on the initial value

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