Qi Liu, Yue Wang, Ye Liu, Na Wang, Feng Liu, Hao Yan, Yang Wang
{"title":"Spectrum monitor system at QTT site","authors":"Qi Liu, Yue Wang, Ye Liu, Na Wang, Feng Liu, Hao Yan, Yang Wang","doi":"10.23919/URSIAP-RASC.2019.8738395","DOIUrl":null,"url":null,"abstract":"QTT is a steerable 110 m radio aperture telescope that will be built in Xinjiang province of china, with a frequency range from 150 MHz to 115 GHz. Site RFI levels is clearly an important issue for such a sensitive instrument. Therefore, we have developed an automated highly sensitive and reliable spectrum monitor system for RFI detected and signal characteristic analyzed, a quasi-real-time measured method was employed for long-term spectrum monitoring, and we used the HDF5 data format for RFI data storage and management. This system is working well at QTT site for a long time, we proposed some considerations for how to process and analyze so much RFI data during spectrum monitoring, and the data processing procedures should be updated in the future work to improve RFI analyzed efficiency.","PeriodicalId":344386,"journal":{"name":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIAP-RASC.2019.8738395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
QTT is a steerable 110 m radio aperture telescope that will be built in Xinjiang province of china, with a frequency range from 150 MHz to 115 GHz. Site RFI levels is clearly an important issue for such a sensitive instrument. Therefore, we have developed an automated highly sensitive and reliable spectrum monitor system for RFI detected and signal characteristic analyzed, a quasi-real-time measured method was employed for long-term spectrum monitoring, and we used the HDF5 data format for RFI data storage and management. This system is working well at QTT site for a long time, we proposed some considerations for how to process and analyze so much RFI data during spectrum monitoring, and the data processing procedures should be updated in the future work to improve RFI analyzed efficiency.