基于等效电路的反射型双波段线-圆极化转换器快速设计方法OA北大核心CSTPCD
Fast design method of reflective dual-band line-circular polarization converter based on equivalent circuit
针对卫星通信高频段、高效率以及极化方式的应用需求,本文设计了一种反射型双波段线-圆极化转换器,基于传输线理论建立等效电路模型,并引入调节因子对极化转换器的几何参数进行数值修正,使模型具有较高的准确性.在此基础上采用粒子群优化 (particle swarm optimizer, PSO) 方法,设计了一种可以在K/Ka 波段卫星通信中实现双频段、双极化转换功能的反射型极化转换器.经过数值与仿真分析得出,该极化转换器可以在发送信道 (19.2~21.2 GHz) 实现左旋圆极化 (left-hand circularly polarization, LHCP) ,在接收信道 (29.2~30.8 GHz) 实现右旋圆极化 (right-hand circularly polarization, RHCP),并且可以在最大入射角范围∆θ= 45°(θmin = 0°,θmax = 45°)内使轴比 (axial ratio, AR) 低于 3 dB.与 CST全波电磁仿真技术及高斯过程回归(Gaussian process regression, GPR) 模型相比,该文提出的等效电路模型大大降低了时间成本,显著提高了极化转换器的设计效率.
For the application requirements of satellite communication high frequency band,high efficiency and polarization mode of satellite communication,this paper designs a reflective dual-band line-circular polarization converter.In this paper,we establish equivalent circuit model based on transmission line theory,and introduce regulatory factors to make numerical corrections to the geometric parameters of the polarization converter to make the model with high accuracy.In this paper,the particle swarm optimization(PSO)method is adopted to design a reflective polarization converter which can realize dual band and bipolarization conversion function in K/Ka band satellite communication.After numerical analysis and simulation analysis concluded that the polarization converter can realize left-handed circular polarization(LHCP)in receive channel(19.2-21.2 GHz),in transmit channel(29.2-30.8 GHz)implements right-hand circularly polarization(RHCP)and reduces the axis ratio(AR)below 3 dB in the maximum incidence angle of range ∆θ =45°(θmin =0°,θmax =45°).In addition,compared with the full-wave electromagnetic simulation technology and machine learning method,the equivalent circuit model proposed in this paper greatly reduces the time cost and significantly improves the design efficiency of the polarization converter.
吴数鑫;张清河;沈钊阳;杨利霞
三峡大学 水电工程智能视觉监测湖北省重点实验室, 宜昌 443002||三峡大学计算机与信息学院, 宜昌 443002安徽大学电子信息工程学院, 合肥 230039
电子信息工程
超表面等效电路极化转换双极化机器学习
meta surfaceequivalent circuitpolarization conversionbipolarizationmachine learning
《电波科学学报》 2024 (002)
262-270 / 9
国家自然科学基金(61771008)
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