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首页> 外文期刊>International journal of RF and microwave computer-aided engineering >Design and Analysis of Minkowski Reflectarray Antenna Using 3-D CST Microwave Studio-Based Neural Network Model with Particle Swarm Optimization
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Design and Analysis of Minkowski Reflectarray Antenna Using 3-D CST Microwave Studio-Based Neural Network Model with Particle Swarm Optimization

机译：基于3-D CST微波工作室的粒子群优化神经网络模型设计和分析Minkowski反射阵列天线

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This article presents a systematic analysis and design of the X-band Minkowski reflectarray antenna (RA) by using the 3-D Computer Simulation Technology Microwave Studio (CST MWS)-based multilayer perceptron neural network (MLP NN) model of a unit element. This MLP NN model is utilized efficiently as a fast and accurate model within a particle swarm optimization procedure to determine the calibration phasing characteristic belonging to the resultant optimum patch geometry and substrate. In design stage, the MLP NN analysis model is reversed to determine the variable-size of each reflectarray element to meet the necessary phase delay with the adaptive iterative step. In the final stage, the optimum Minkowski RA consisting of the variable-size Minkowski patches interspaced by 0.5 wavelength at the frequency of 11 GHz on the Taconic RF-35 with ε_r = 3.54, tan δ = 0.0018 and the optimum thickness (h_(opt)) are analyzed using the 3D CST MWS and compared with the counterpart square and parabolic reflectors. Compared with the counterpart RA with square element and the parabolic reflector, this optimized Minkowski RA is resulted to be capable of providing higher realized gain and lower sidelobe level (SLL). Furthermore, the effect of feed movement along the focal length on the gain-bandwidth and radiation pattern is also worked out and demonstrated. It is concluded that this method can also be applied as a robust method for the design and analysis of a RA built by arbitrarily shaped patches.
机译：本文介绍了使用基于3-D计算机仿真技术微波工作室（CST MWS）的多层感知器神经网络（MLP NN）模型的单元元素的X波段Minkowski反射阵列天线（RA）的系统分析和设计。该MLP NN模型可有效地用作粒子群优化过程中的快速而准确的模型，以确定属于最终最佳贴片几何形状和基板的校准相位特性。在设计阶段，反转MLP NN分析模型，以确定每个反射阵列元素的可变大小，以通过自适应迭代步骤满足必要的相位延迟。在最后阶段，最优的Minkowski RA由可变大小的Minkowski贴片组成，这些贴片在Taconic RF-35上以11 GHz的频率以0.5波长间隔开，ε_r= 3.54，tanδ= 0.0018，最佳厚度为（h_（opt ））使用3D CST MWS进行分析，并与对应的正方形和抛物线形反射镜进行比较。与具有方形元件和抛物面反射镜的对应RA相比，这种经过优化的Minkowski RA能够提供更高的实现增益和更低的旁瓣电平（SLL）。此外，还研究了并证明了沿焦距的进给运动对增益带宽和辐射方向图的影响。结论是，该方法还可以用作鲁棒性方法，用于设计和分析由任意形状补丁构建的RA。

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