For the detection and identification of abnormal nodular tissues on the body surface, a microwave sensor structure loaded with a spiral resonator is proposed in this paper, a sensor simulation model is established using HFSS software, the structural parameters are optimized, and the actual sensor is fabricated. The S21 parameters of the tissue were obtained when nodules appeared by simulation, and the characteristic relationship between the difference of S21 parameters with position was analyzed and tested experimentally. The results showed that when nodules were present in normal tissues, the curve of S21 parameter difference with position change had obvious inverted bimodal characteristics, and the extreme value of S21 parameter difference appeared when the sensor was directly above the nodules, which was easy to identify the position of nodules. It provides an objective detection tool for the identification of abnormal nodular tissues on the body surface.
针对体表异常结节组织检测与识别问题，本文提出了一种加载螺旋谐振器的微波传感器结构，利用HFSS软件建立了传感器仿真模型、优化了结构参数，并制作了传感器实物；仿真得到了组织出现结节时的S21参数，分析了S21参数差值随位置变化的特征关系，并进行了实验测试。结果表明：正常组织中存在结节时，S21参数差值随位置变化曲线具有明显的倒双峰特征，并且当传感器位于结节正上方时，S21参数差值出现极值，易于识别结节的位置。本研究为体表异常结节组织的识别提供了客观的检测工具。.
Keywords: Abnormal nodule; Body surface; Microwave sensor; S21 parameters.