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基于遗传算法的可重构天线系统研究与实现
引用本文:曹 凯,陈国虎,江 桦.基于遗传算法的可重构天线系统研究与实现[J].信息工程大学学报,2013,14(5):557-562.
作者姓名:曹 凯  陈国虎  江 桦
作者单位:信息工程大学,河南 郑州 450001
摘    要:提出以信噪比作为可重构天线寻优过程的评价函数.采用遗传算法作为系统的寻优算法,并对其参数设置进行研究.利用信号发生器产生的信号对可重构天线系统进行测试,实验数据表明,文章中提出的直接以信噪比作为评价函数的可重构天线寻优算法,可以使可重构天线系统有效提高目标接收信号的信噪比,并在一定程度上抑制干扰信号,提高系统性能.

关 键 词:可重构天线  遗传算法  盲信噪比估计  寻优算法

Research and Implementation of Genetic Algorithm-Based Reconfigurable Antenna Systems
CAO Kai,CHEN Guo hu,JIANG Hua.Research and Implementation of Genetic Algorithm-Based Reconfigurable Antenna Systems[J].Journal of Information Engineering University,2013,14(5):557-562.
Authors:CAO Kai  CHEN Guo hu  JIANG Hua
Affiliation:Information Engineering University, Zhengzhou 450001, China
Abstract:This paper presents a new idea that SNR is directly adopted as the evaluating function of reconfigurable antenna optimum searching algorithms to evaluate the receiving performance of recon- figurable antennas. It also provides a method of blind SNR estimating for narrow-band signals. The genetic algorithm is used as the system optimum searching algorithm, parameter setting in genetic algorithms is studied, and signals produced by signal generators are used to mesure the reconfigurable antenna system. Simulation and experiment data shows that the proposed optimum searching algorithm has upgraded the performance of the reconfigurable antenna system in SNR improving and interference rejecting.
Keywords:reconfigurable antenna  genetic algorithm  blind SNR estimation  optimum searching algorithm
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