这项研究提出了一种用于高分辨率微波成像（MWI）的微带传感器的创新几何结构。该传感器的主要预期应用是乳腺癌、肺癌和脑癌的早期检测。所提出的设计包括由共面波导馈电的微带贴片天线，背面采用基于超材料 (MTM) 层的透镜，以及作为单独层实现的人造磁导体 (AMC)。 AMC 磁导率和介电常数的分析表明，该结构在天线谐振点附近表现出负 epsilon (ENG) 特性。此外，还研究了反射率、透射率和吸收率。该传感器原型是使用 FR4 层压板制造的。通过实验验证证实了该结构优异的电气和场特性。在 4.56 GHz 谐振频率下，实现的增益达到 8.5 dBi，其中 AMC 贡献了 3.8 dBi 增益增强。通过使用 MWI 系统模型进行的大量基于模拟的实验，证实了所提出的传感器用于检测脑肿瘤、肺癌和乳腺癌的适用性，该模型采用了所提出的传感器的四个副本，以及乳腺癌、肺癌、和大脑幻象。正如所证明的，传感器的定向辐射模式和增强的增益能够实现精确的肿瘤大小辨别。与最近文献中描述的最先进的传感器相比，所提出的传感器提供了具有竞争力的性能，特别是在增益、模式方向性和阻抗匹配方面，所有这些对于 MWI 都至关重要。© 2024。作者）。

This study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and brain cancer. The proposed design consists of a microstrip patch antenna fed by a coplanar waveguide with a metamaterial (MTM) layer-based lens implemented on the back side, and an artificial magnetic conductor (AMC) realized on as a separate layer. The analysis of the AMC's permeability and permittivity demonstrate that the structure exhibits negative epsilon (ENG) qualities near the antenna resonance point. In addition, reflectivity, transmittance, and absorption are also studied. The sensor prototype has been manufactures using the FR4 laminate. Excellent electrical and field characteristics of the structure are confirmed through experimental validation. At the resonance frequency of 4.56 GHz, the realized gain reaches 8.5 dBi, with 3.8 dBi gain enhancement contributed by the AMC. The suitability of the presented sensor for detecting brain tumors, lung cancer, and breast cancer has been corroborated through extensive simulation-based experiments performed using the MWI system model, which employs four copies of the proposed sensor, as well as the breast, lung, and brain phantoms. As demonstrated, the directional radiation pattern and enhanced gain of the sensor enable precise tumor size discrimination. The proposed sensor offers competitive performance in comparison the state-of-the-art sensors described in the recent literature, especially with respect to as gain, pattern directivity, and impedance matching, all being critical for MWI.© 2024. The Author(s).