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Coupling Effects on Adaptive Smart Array Pattern Synthesis by Brain Emotional Learning Based Intelligent Controller

机译:基于脑情绪学习的智能控制器的自适应智能阵列模式耦合效应

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In this paper, we present the adaptive planar array for a 4-elements CPW fed-slot antenna to be used at WiMAX licensed band of 5.8GHz by considering the mutual coupling effects. This method takes advantages of active element pattern that is achieved by full wave analysis of the array in Ansoft HFSS, obtaining complex weight by intelligent adaptive tracking controller based on motional learning model in mammalians brain. The control algorithm is provided with sensory input and reward signal which is independently searches for the proper control signal to be executed by actuators. We have used Least Mean Square (LMS) algorithm to compare the results by Brain Emotional Learning Based Intelligent Controller (BELBIC).
机译:在本文中,我们通过考虑相互耦合效应,在5.8GHz的WiMAX许可带上使用的4个元件CPW FED插槽天线的自适应平面阵列。该方法采用有源元素图案的优点,其通过ANSOFT HFS中的阵列的全波分析来实现,基于哺乳动物大脑中的运动学习模型获得智能自适应跟踪控制器的复重权重。控制算法提供有感觉输入和奖励信号,其独立地搜索致动器执行的适当控制信号。我们使用了最不均值的方形(LMS)算法来比较基于脑情绪学习的智能控制器(Belbic)的结果。

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