Antenna design optimization method and system based on bat algorithm

A technology of bat algorithm and optimization method, applied in the field of antenna, can solve problems such as slow convergence speed, unstable results, local search, etc., to achieve good robustness and improve optimization efficiency.

Active Publication Date: 2019-09-13
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

This method can realize the fully automatic design of the antenna, and is suitable for high-dimensional non-convex problems. The result can rea...

Method used

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  • Antenna design optimization method and system based on bat algorithm
  • Antenna design optimization method and system based on bat algorithm
  • Antenna design optimization method and system based on bat algorithm

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Embodiment

[0054] This embodiment provides an antenna optimization design method based on the bat algorithm, including the following steps:

[0055] 1) Select the appropriate antenna form and define the fitness function according to the target requirements, and determine the manufacturing materials and processing technology. For example, if the target requirement is a broadband antenna covering the 3GPP n77 frequency band (3.3-4.2GHz), you can choose figure 2The differential multi-layer stacked patch antenna shown, define the corresponding antenna reflection coefficient S 11 The fitness function is:

[0056] in PCB technology using FR4 substrate.

[0057] 2) Determine the range of known parameters and unknown parameters according to the selected processing material and manufacturing process. Here, the thickness of the PCB substrate is set to h 1 = h 3 = 4mm, h 2 = 2mm, the size of each antenna patch (l 1 ,w 1 , l 2 ,w 2 , l 3 ,w 3 ) and feed point spacing d as unknown par...

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Abstract

The invention provides an antenna design optimization method and system based on a bat algorithm. The antenna design optimization method comprises the steps: setting a fitness function according to the type of an antenna, and determining a processing material and a manufacturing process according to the type of the antenna; setting ranges of known parameters and unknown parameter variables of theantenna according to a processing material and a manufacturing process, and initializing the unknown parameter variables according to a physical dimension range of the antenna; determining the physical size of the antenna according to the current population parameter, and calculating a fitness function through electromagnetic simulation to obtain a fitness value; iteratively updating population parameters based on a bat algorithm to obtain an offspring population and a current fitness value; judging according to a preset termination condition, judging whether the current fitness value meets the requirement or whether the number of iterations reaches the upper limit or not, and outputting if the current fitness value meets the requirement. According to the antenna design optimization method, the optimization efficiency can be improved, and rapid and automatic optimization design of the antenna with specific performance is realized.

Description

technical field [0001] The present invention relates to the field of antennas, in particular to a bat algorithm-based antenna design optimization method and system. Background technique [0002] The rapid development and application of wireless communication technology has put forward higher and higher requirements for antenna design. On the one hand, in many application scenarios, due to space constraints, the antenna is often a variant of the classic structure, there are many key parameters that determine the performance of the antenna, and there is a lack of guiding design formulas; on the other hand, under the new generation of mobile communication systems, for The requirements for antenna performance are becoming more and more stringent. [0003] Just as the antenna design method disclosed by the publication number CN104239634A, the existing antenna design methods are mainly divided into three categories. One is the traditional design method based on the design formula...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/00
CPCG06N3/006G06F30/20
Inventor 邵子剑张跃平
Owner SHANGHAI JIAO TONG UNIV
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