Super-Resolution Spectral Approach for the Accuracy Enhancement of Biomedical Resonant Microwave Sensors

被引：4

作者：

Costanzo, Sandra ^{[1
,2
,3
]}

Buonanno, Giovanni ^{[1
]}

Solimene, Raffaele ^{[4
,5
,6
]}

机构：

[1] Univ Calabria, DIMES, I-87036 Arcavacata Di Rende, Italy

[2] Natl Res Council Italy CNR, Inst Electromagnet Sensing Environm IREA, I-80124 Naples, Italy

[3] Interuniv Natl Res Ctr Interact Electromagnet Fie, ICEmB, I-16145 Genoa, Italy

[4] Univ Campania, Dipartimento Ingn, I-81031 Aversa, CE, Italy

[5] Consorzio Nazl Interuniv Telecomunicaz, I-43124 Parma, Italy

[6] Indian Inst Technol Madras, Dept Elect Engn, Chennai 600036, Tamil Nadu, India

来源：

IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY | 2022年 / 6卷 / 04期

关键词：

Resonant frequency; Sensors; Microwave theory and techniques; Superresolution; Electromagnetics; Dispersion; Monitoring; Continuous non-invasive blood glucose monitoring; microwave resonant sensors; signal processing; spectral estimation;

D O I：

10.1109/JERM.2022.3210457

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Super-resolution spectral methods are applied and compared to improve the estimation result provided by biomedical microwave resonant sensors. In particular, the resolution of resonant sensors is revealed to be significantly improved, despite their intrinsic low quality factor. Excellent robustness against noise is also demonstrated. Algorithms are first validated on ad hoc synthetic data mimicking the response of a resonant sensor. Additionally, experimental validation is carried out by using data coming from a microwave resonant sensor, which is specifically designed for blood-glucose monitoring.

引用

页码：539 / 545

页数：7

共 22 条

[1] High-Resolution Chipless Tag RF Sensor [J].