电子测量与仪器学报

杜远阳,吴杨慧,陈彬,王晓雨,顾文华.非均匀泡沫多孔吸波材料的电磁参数提取方法[J].电子测量与仪器学报,2025,39(8):200-208

非均匀泡沫多孔吸波材料的电磁参数提取方法

Electromagnetic parameter extraction method for non-uniformfoam porous absorbing materials

DOI：

英文关键词:foam absorbing material reflectivity complex permittivity electromagnetic parameter inversion

基金项目:

作者	单位
杜远阳	1.南京理工大学微电子学院（集成电路学院）南京210094；2.近程射频感知芯片与微系统教育部实验室南京210094
吴杨慧	1.南京理工大学微电子学院（集成电路学院）南京210094；2.近程射频感知芯片与微系统教育部实验室南京210094
陈彬	近程射频感知芯片与微系统教育部实验室南京210094
王晓雨	1.南京理工大学微电子学院（集成电路学院）南京210094；2.近程射频感知芯片与微系统教育部实验室南京210094
顾文华	1.南京理工大学微电子学院（集成电路学院）南京210094；2.近程射频感知芯片与微系统教育部实验室南京210094

Author	Institution
Du Yuanyang	1.School of Microelectronics (School of Integrated Circuits), Nanjing University of Science and Technology, Nanjing 210094, China; 2.Key Laboratory of NearRange RF Sensing ICs & Microsystems (Nanjing University of Science and Technology), Ministry of Education, Nanjing 210094, China
Wu Yanghui	1.School of Microelectronics (School of Integrated Circuits), Nanjing University of Science and Technology, Nanjing 210094, China; 2.Key Laboratory of NearRange RF Sensing ICs & Microsystems (Nanjing University of Science and Technology), Ministry of Education, Nanjing 210094, China
Chen Bin	Key Laboratory of NearRange RF Sensing ICs & Microsystems (Nanjing University of Science and Technology), Ministry of Education, Nanjing 210094, China
Wang Xiaoyu	1.School of Microelectronics (School of Integrated Circuits), Nanjing University of Science and Technology, Nanjing 210094, China; 2.Key Laboratory of NearRange RF Sensing ICs & Microsystems (Nanjing University of Science and Technology), Ministry of Education, Nanjing 210094, China
Gu Wenhua	1.School of Microelectronics (School of Integrated Circuits), Nanjing University of Science and Technology, Nanjing 210094, China; 2.Key Laboratory of NearRange RF Sensing ICs & Microsystems (Nanjing University of Science and Technology), Ministry of Education, Nanjing 210094, China

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中文摘要:

针对泡沫吸波材料的电磁参数难以准确测试的问题,基于吸波材料反射率计算理论模型,根据电磁参数与反射率的关系实现了泡沫吸波材料电磁参数（复介电常数）的准确表征。提出了利用弓形法测试系统分别测量不同入射角度下的垂直极化和水平极化反射率,通过牛顿-拉夫逊迭代算法求解反演问题。该方法仅需采用反射率幅度测试结果,可避免相位误差带来的影响。所提出的测试与表征方法仅需一块待测材料,无需对样品进行精密切割,不会破坏泡沫吸波吸波材料的微观结构,有效减少加工误差带来的影响。为验证提出的测试方案和算法,在8~12 GHz频段进行了实验验证,并与经典的波导法-NRW法进行对比。实验结果表明，发泡聚丙烯材料的不同厚度、角度的反射率理论计算值与测试值相吻合,除谐振点外,理论值与实测值的偏差在0.087~0.806 dB之间,符合弓形法测试要求（±1 dB）,验证了该电磁参数提取算法的可行性和有效性。

英文摘要:

The accurate testing of electromagnetic parameters for foam absorptive materials presents a significant challenge. In this study, we developed an electromagnetic parameter (complex permittivity) characterization method based on the reflectivity calculation theory. By establishing a relationship between the electromagnetic parameters and reflectivity, we achieved precise characterization of the foam absorptive material’s electromagnetic properties. We propose a measurement system using the arcuate method, where the reflectivity for both vertical and horizontal polarizations is measured at different incident angles. The inversion problem is solved using the Newton-Raphson iteration algorithm. This approach only requires the amplitude of the reflectivity, thus eliminating the impact of phase errors. The proposed testing and characterization method only needs a single sample without the need for precise cutting, preserving the microstructure of the foam absorptive material and minimizing the influence of processing errors. To validate the proposed testing scheme and algorithm, experiments were conducted in the frequency range of 8 GHz to 12 GHz, and the results were compared with those obtained using the classic waveguide method (NRW). The experimental results demonstrate that the theoretical reflectivity values for expanded polypropylene (EPP) at different thicknesses and angles match well with the measured values. Except for resonance points, the deviation between the theoretical and measured values ranges from 0.087 dB to 0.806 dB, which meets the arcuate method testing requirement (±1 dB), thereby verifying the feasibility and effectiveness of the proposed electromagnetic parameter extraction algorithm.

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