{"title":"Solar-blind UV signal detection system","authors":"Junjie Xiang, Yonglin Bai, Weiwei Cao","doi":"10.1117/12.3007712","DOIUrl":null,"url":null,"abstract":"To meet the demand of weak ultraviolet signal acquisition and transmission for solar-blind ultraviolet flame detectors, this paper develops a signal acquisition system based on a β-Ga2O3 thin-film photoconductive sensor. Firstly, the weak signal acquisition circuit is designed according to the electrical characteristics of the β-Ga2O3 photoconductive sensor. Secondly, real-time data transmission and processing are achieved by using field-programmable gate array (FPGA). Thirdly, the experimental platform of solar-blind UV imaging system is built, and the joint test of the β-Ga2O3 photoconductive sensor and the readout electronics system is conducted. The experimental results demonstrate that the system is capable of acquiring, transmitting, and storing the solar-blind UV signal data from a 1×8 pixel array. The sampling rate can reach up to 20 kHz and exhibits stable performance.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"32 ","pages":"1296316 - 1296316-8"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Optics and Photonics China","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3007712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To meet the demand of weak ultraviolet signal acquisition and transmission for solar-blind ultraviolet flame detectors, this paper develops a signal acquisition system based on a β-Ga2O3 thin-film photoconductive sensor. Firstly, the weak signal acquisition circuit is designed according to the electrical characteristics of the β-Ga2O3 photoconductive sensor. Secondly, real-time data transmission and processing are achieved by using field-programmable gate array (FPGA). Thirdly, the experimental platform of solar-blind UV imaging system is built, and the joint test of the β-Ga2O3 photoconductive sensor and the readout electronics system is conducted. The experimental results demonstrate that the system is capable of acquiring, transmitting, and storing the solar-blind UV signal data from a 1×8 pixel array. The sampling rate can reach up to 20 kHz and exhibits stable performance.