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Design method of resonance frequency of circular microstrip antenna

A technology of circular microstrip antenna and resonant frequency, which is applied in the design of circular microstrip antenna resonant frequency, the design of circular microstrip antenna resonant frequency, the field of parallel particle swarm neural network on the GPU side, and can solve the problem of particle swarm neural network on the CPU side. Problems such as long network calculation time, to achieve the effect of reducing modeling time, reducing modeling error, and modeling error performance

Inactive Publication Date: 2015-06-03
JIANGSU UNIV OF SCI & TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for designing the resonant frequency of a circular microstrip antenna. Based on the GPU-side parallel particle swarm neural network of the unified computing device architecture, the design of the resonant frequency of the circular microstrip antenna is quickly modeled to overcome the existing Disadvantages of too long calculation time of particle swarm neural network on CPU side

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  • Design method of resonance frequency of circular microstrip antenna
  • Design method of resonance frequency of circular microstrip antenna
  • Design method of resonance frequency of circular microstrip antenna

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Embodiment Construction

[0043] The present invention aims at the problem that the calculation time is too long when the particle swarm neural network models the resonant frequency of the circular microstrip antenna. On the basis of the existing GPU-side parallel particle swarm algorithm research, a unified computing device architecture is designed and implemented. The GPU-side parallel particle swarm neural network solution method is used, and the resonant frequency of the circular microstrip antenna is quickly modeled, which improves the modeling speed and modeling accuracy.

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] like figure 1 Shown is a circular microstrip antenna model, the radius of the circular patch 1 is a, the thickness of the dielectric substrate 2 is h, and the relative permittivity is ε r . The cavity model method is used to analyze the circular patch, when h0 , the cavity between patc...

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Abstract

The invention discloses a design method of the resonance frequency of a circular microstrip antenna. The design method comprises the following steps: establishing mapping relationships between three relevant parameters, namely patch radius, dielectric substrate thickness and relative dielectric constant of the circular microstrip antenna, and the actually-measured resonance frequency by using a particle swarm neural network; by using a GPU technology, and in the unified computing device-framework programming environment, performing parallel accelerating computation on the training process of the particle swarm neural network, wherein the well-trained particle swarm neural network can be used for predicting the resonance frequencies of other circular microstrip antennae. By the design method, the defect that the computing time of the particle swarm neural network at a CPU end is long can be overcome, and the circular microstrip antenna resonance frequency modeling speed is increased and the circular microstrip antenna resonance frequency modeling accuracy can be improved.

Description

technical field [0001] The invention relates to a method for designing the resonant frequency of a circular microstrip antenna, in particular to a GPU-side parallel particle swarm neural network based on a unified computing device architecture, and a method for designing the resonant frequency of a circular microstrip antenna, which belongs to the technical field of antennas. Background technique [0002] Microstrip antennas have been widely used because of their many advantages, among which the resonant frequency is the most important parameter in the design process of microstrip antennas, which directly determines the success or failure of antenna design. Artificial Neural Networks (ANNs) models have been widely used in modeling the resonant frequency design of microstrip antennas due to their good learning and generalization capabilities. The trained neural network can establish a mapping relationship between the relevant parameters of the microstrip antenna (including pa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02H01Q1/38
Inventor 陈风田雨波刘东
Owner JIANGSU UNIV OF SCI & TECH
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