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Array antenna directional diagram comprehensive design method based on dynamic cooperation grey wolf optimization algorithm

A pattern synthesis, array antenna technology, applied in computer-aided design, calculation, calculation model and other directions

Pending Publication Date: 2019-07-23
YUNNAN NORMAL UNIV +1
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Problems solved by technology

[0006] The technical problem to be solved in the present invention is that a more effective optimization algorithm is needed for the complex array antenna pattern synthesis problem, and a method for array antenna pattern synthesis design based on a dynamic cooperative gray wolf optimization algorithm is provided to reduce calculation time and improve calculation efficiency. precision and efficiency

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  • Array antenna directional diagram comprehensive design method based on dynamic cooperation grey wolf optimization algorithm
  • Array antenna directional diagram comprehensive design method based on dynamic cooperation grey wolf optimization algorithm
  • Array antenna directional diagram comprehensive design method based on dynamic cooperation grey wolf optimization algorithm

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Embodiment Construction

[0045] The present invention will be further described below in combination with the accompanying drawings and specific embodiments.

[0046] A comprehensive design method of array antenna pattern based on dynamic cooperative gray wolf optimization algorithm. In each generation of evolution, after determining the fitness function values ​​and positions of α wolf, β wolf, and δ wolf, the α wolf, β wolf The positions of wolves and δ wolves are averaged, but the dynamic cooperation weight factor is calculated according to the fitness function value, and the positions of these three wolves are weighted, and then the position is updated.

[0047] The specific steps are:

[0048] Step1: Initialize the population in the solution space, set the initial evolution algebra t=1, and the maximum evolution algebra is iter max ;

[0049] Specifically, given the population size N, the maximum number of iterations iter max , the dimension D of the problem and the feasible solution space of ...

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Abstract

The invention relates to an array antenna directional diagram comprehensive design method based on a dynamic cooperation grey wolf optimization algorithm, and belongs to the technical field of mobilecommunication antennas. In each generation of evolution, after the fitness function values and positions of the alpha, beta and delta wolves are determined, the dynamic cooperation weight factors arecalculated according to the fitness function values instead of directly averaging the positions of the alpha wolves, the beta wolves and the delta wolves, the positions of the three wolves are weighted, and then position updating is carried out. The improved algorithm emphasizes the leader effect of the first leader wolf, but neglects the cooperation between the leader layer wolves, better balances the global optimum and the local optimum, and can quickly and effectively converge to the optimal solution.

Description

technical field [0001] The invention relates to a comprehensive design method of an array antenna pattern based on a dynamic cooperative gray wolf optimization algorithm, and belongs to the technical field of mobile communication antennas. Background technique [0002] In wireless communication systems, in order to deal with the interference of narrowband signals, it is required to generate deep zero points in the incoming wave direction of interference signals to resist interference; such problems can be solved by array antenna pattern synthesis. The purpose of array antenna pattern synthesis is to determine some parameters of the array antenna so that the radiation characteristics of the antenna array can meet or be as close as possible to a given design goal. Since most of the objective functions and constraints in the pattern synthesis problem are multi-parameter, nonlinear, non-differentiable, or even discontinuous, traditional numerical optimization methods based on gr...

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/00
Inventor 刘燕张亚明穆向阳陈国祥陈恳
Owner YUNNAN NORMAL UNIV
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