{"title":"光纤电缆连接接头故障定位","authors":"C. Zarowski","doi":"10.1109/CCECE.1996.548076","DOIUrl":null,"url":null,"abstract":"This paper presents an algorithm for detecting and locating connection splice events (faults) in fibre optic cables by the digital signal processing of noisy optical time-domain reflectometry (OTDR) data. Gabor series expansions, Rissanen's (1978) minimum description length (MDL) criterion, and matched subspace detection methods are employed in the algorithm. It is assumed that the noise is zero-mean, white, Gaussian, and of known variance.","PeriodicalId":269440,"journal":{"name":"Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Connection splice fault location in fibre optic cables\",\"authors\":\"C. Zarowski\",\"doi\":\"10.1109/CCECE.1996.548076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an algorithm for detecting and locating connection splice events (faults) in fibre optic cables by the digital signal processing of noisy optical time-domain reflectometry (OTDR) data. Gabor series expansions, Rissanen's (1978) minimum description length (MDL) criterion, and matched subspace detection methods are employed in the algorithm. It is assumed that the noise is zero-mean, white, Gaussian, and of known variance.\",\"PeriodicalId\":269440,\"journal\":{\"name\":\"Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1996.548076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1996 Canadian Conference on Electrical and Computer Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1996.548076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Connection splice fault location in fibre optic cables
This paper presents an algorithm for detecting and locating connection splice events (faults) in fibre optic cables by the digital signal processing of noisy optical time-domain reflectometry (OTDR) data. Gabor series expansions, Rissanen's (1978) minimum description length (MDL) criterion, and matched subspace detection methods are employed in the algorithm. It is assumed that the noise is zero-mean, white, Gaussian, and of known variance.
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