Yuan Yuan;Tianyao Zhang;Zhaohui Zhang;Xiaoyan Zhao;Xianhao Wu;Shaowen Zheng;Liang Liang;Can Cao
{"title":"具有超高频率选择性和偏振灵敏度的太赫兹元表面传感器的稳健特性分析","authors":"Yuan Yuan;Tianyao Zhang;Zhaohui Zhang;Xiaoyan Zhao;Xianhao Wu;Shaowen Zheng;Liang Liang;Can Cao","doi":"10.1109/JSEN.2024.3470995","DOIUrl":null,"url":null,"abstract":"By enhancing light-matter interaction, terahertz (THz) metasurface can significantly improve the performance of THz spectroscopic sensing. Despite their theoretical promise, a robust and practical characterization method for THz metasurface remains urgently needed. This article presents a novel characterization approach for THz metasurface that is resilient to environmental water vapor, enabling ultrahigh frequency selectivity and polarization sensitivity. The performance of the proposed method is demonstrated using a series of lithography-fabricated split-ring metasurface, theoretically designed to be evenly separated over the 0.6–1.0 THz range. A continuous wave THz frequency-domain spectroscopy system was employed for experimental characterization. Following sophisticated raw photocurrent data processing, ultrahigh frequency resolution (0.05 GHz) spectral characterization was achieved within the frequency range of 0.05 to 1.4 THz. The measured data exhibit linear correlation with the theoretical simulation results, and deviations of the resonance frequencies are less than 0.02 THz. By presenting the characterization results with and without water vapor exhibited in the THz pathway, we demonstrate the robustness of the proposed method in the ambient environment. Furthermore, we incorporated a sample rotating frame into the THz optical path to achieve polarization-sensitive measurements. As the era of 6G integrated sensing and communication approaches, our research significantly advances the practicality of metasurface enhanced THz sensing.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"36706-36713"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Characterization of Terahertz Metasurface Sensor With Ultrahigh Frequency Selectivity and Polarization Sensitivity\",\"authors\":\"Yuan Yuan;Tianyao Zhang;Zhaohui Zhang;Xiaoyan Zhao;Xianhao Wu;Shaowen Zheng;Liang Liang;Can Cao\",\"doi\":\"10.1109/JSEN.2024.3470995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By enhancing light-matter interaction, terahertz (THz) metasurface can significantly improve the performance of THz spectroscopic sensing. Despite their theoretical promise, a robust and practical characterization method for THz metasurface remains urgently needed. This article presents a novel characterization approach for THz metasurface that is resilient to environmental water vapor, enabling ultrahigh frequency selectivity and polarization sensitivity. The performance of the proposed method is demonstrated using a series of lithography-fabricated split-ring metasurface, theoretically designed to be evenly separated over the 0.6–1.0 THz range. A continuous wave THz frequency-domain spectroscopy system was employed for experimental characterization. Following sophisticated raw photocurrent data processing, ultrahigh frequency resolution (0.05 GHz) spectral characterization was achieved within the frequency range of 0.05 to 1.4 THz. The measured data exhibit linear correlation with the theoretical simulation results, and deviations of the resonance frequencies are less than 0.02 THz. By presenting the characterization results with and without water vapor exhibited in the THz pathway, we demonstrate the robustness of the proposed method in the ambient environment. Furthermore, we incorporated a sample rotating frame into the THz optical path to achieve polarization-sensitive measurements. As the era of 6G integrated sensing and communication approaches, our research significantly advances the practicality of metasurface enhanced THz sensing.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"24 22\",\"pages\":\"36706-36713\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10706822/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10706822/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Robust Characterization of Terahertz Metasurface Sensor With Ultrahigh Frequency Selectivity and Polarization Sensitivity
By enhancing light-matter interaction, terahertz (THz) metasurface can significantly improve the performance of THz spectroscopic sensing. Despite their theoretical promise, a robust and practical characterization method for THz metasurface remains urgently needed. This article presents a novel characterization approach for THz metasurface that is resilient to environmental water vapor, enabling ultrahigh frequency selectivity and polarization sensitivity. The performance of the proposed method is demonstrated using a series of lithography-fabricated split-ring metasurface, theoretically designed to be evenly separated over the 0.6–1.0 THz range. A continuous wave THz frequency-domain spectroscopy system was employed for experimental characterization. Following sophisticated raw photocurrent data processing, ultrahigh frequency resolution (0.05 GHz) spectral characterization was achieved within the frequency range of 0.05 to 1.4 THz. The measured data exhibit linear correlation with the theoretical simulation results, and deviations of the resonance frequencies are less than 0.02 THz. By presenting the characterization results with and without water vapor exhibited in the THz pathway, we demonstrate the robustness of the proposed method in the ambient environment. Furthermore, we incorporated a sample rotating frame into the THz optical path to achieve polarization-sensitive measurements. As the era of 6G integrated sensing and communication approaches, our research significantly advances the practicality of metasurface enhanced THz sensing.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
-Sensor Networks
-Sensor Applications
-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice