Rirong Su, Qinghua Tian, Xiangjun Xin, Xiaoli Yin, Fu Wang, Zhipei Li, Yongjun Wang
{"title":"A Golden Section Software Synchronization Algorithm Based on Linear Optical Sampling System","authors":"Rirong Su, Qinghua Tian, Xiangjun Xin, Xiaoli Yin, Fu Wang, Zhipei Li, Yongjun Wang","doi":"10.1109/ICECE56287.2022.10048658","DOIUrl":null,"url":null,"abstract":"In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.","PeriodicalId":358486,"journal":{"name":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECE56287.2022.10048658","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
In the paper, the linear optical sampling system is studied, and a golden section software synchronization (GSSS) algorithm is proposed to monitor the performance of the signal under test (SUT) and obtain a clear eye diagram. Experiments show that this method produces better results in recovering temporal information. Compared with the chirp-z-transform (CZT) algorithm, the GSSS algorithm reduces the complexity by half, which has a smaller delay and improves the efficiency of real-time monitoring the performance of SUT.