In this work, a unique tri-band notch and multiband UWB antenna sensor has been designed for microwave sensing system to find out the cancerous tissues. The crescent shaped slot loaded antenna has been designed to avoid interferences between the antennas in UWB ranges. Using notches, the antenna sensitivity increases for detection. The proposed method has been verified through simulation and validated using measurements. S11 plot of the proposed antenna shows three notches at 3 GHz, 4.75 GHz and 7.25 GHz. It also shows four bands and omnidirectional radiation pattern over the UWB frequency range. Ground plane has been chosen to be hexagonal to achieve fourth band. I-shaped and U-shaped parasitics improve the antenna performance in third band. Crescent shaped and C-shaped slots improve the performance of first and second band of the antenna respectively. Additionally, phantom without tumors and with single and multiple tumors are fabricated. S-parameter analysis is a better approach to detect the cancerous tissues in the breast. Concept of principal component analysis of statistical machine learning has also been used to distinguish S-parameter of normal breast phantom from malignant breast phantom.

中文翻译：

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新月形槽加载天线传感器，带有用于癌症检测的三频缺口

在这项工作中，为微波传感系统设计了一种独特的三波段陷波和多波段 UWB 天线传感器，以找出癌组织。新月形槽加载天线的设计旨在避免 UWB 范围内天线之间的干扰。使用凹口，天线灵敏度增加以进行检测。所提出的方法已通过仿真验证并使用测量进行验证。建议天线的 S11 图显示了 3 GHz、4.75 GHz 和 7.25 GHz 的三个陷波。它还显示了 UWB 频率范围内的四个波段和全向辐射图。地平面被选择为六边形以实现第四频带。I 形和 U 形寄生改善了第三频段的天线性能。新月形和C形槽分别提高了天线第一和第二频段的性能。此外，还制作了没有肿瘤和具有单个和多个肿瘤的模型。S 参数分析是检测乳房癌组织的更好方法。统计机器学习的主成分分析概念也被用于区分正常乳房模型和恶性乳房模型的 S 参数。