Design and research of RFID microstrip antenna based on improved PSO neural networks

Design and research of RFID microstrip antenna based on improved PSO neural networks

There are some key parameters in RFID reader antenna which are related closely with the antenna structure, such as resonant frequency, return loss and bandwidth in the antenna design process. Structure and properties of the antenna is a complex nonlinear system with complex state which is difficult...

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Hauptverfasser: Guo Zhitao, Yuan Jinli, Gu Junhua
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Micro strip antenna
neural network
PSO (Partial Swarm Optimization)
resonant frequency
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Gu Junhua
description There are some key parameters in RFID reader antenna which are related closely with the antenna structure, such as resonant frequency, return loss and bandwidth in the antenna design process. Structure and properties of the antenna is a complex nonlinear system with complex state which is difficult to make mode by the mathematic method. In this case, neural network is used to express the nonlinear system in this article. Giving a large number of simulation data for the samples, adaptive particle swarm algorithm is used to train network by simulation experiment which is used to verify the fitting degree of neural networks and simulation results. The experiment result shows that PSO neural network can improve the level of computer-aided design of micro strip antenna and achieve the antenna design quickly.
doi_str_mv 10.1109/ISAPE.2010.5696446
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subjects Micro strip antenna
neural network
PSO (Partial Swarm Optimization)
resonant frequency
title Design and research of RFID microstrip antenna based on improved PSO neural networks
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