面向OTDR数据后处理的矢量索引算法

光通信研究 Pub Date : 2013-07-10 DOI:10.1109/NOC-OCI.2013.6582860

M. Usama, M. S. Sheikh

{"title":"面向OTDR数据后处理的矢量索引算法","authors":"M. Usama, M. S. Sheikh","doi":"10.1109/NOC-OCI.2013.6582860","DOIUrl":null,"url":null,"abstract":"The paper details the vector indexing algorithm for post processing of data in optical time domain reflectometer. Post processing is necessary in OTDR for event detection and feature extraction from the acquired traces. The vector indexing algorithm uses the acquired data trace to extract accurate event location and improve upon the spatial resolution of the OTDR. The proposed algorithm has been tested on our self-developed OTDR board and its performance has been benchmarked against the real measured event locations.","PeriodicalId":57196,"journal":{"name":"光通信研究","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Vector indexing algorithm for post processing of OTDR data\",\"authors\":\"M. Usama, M. S. Sheikh\",\"doi\":\"10.1109/NOC-OCI.2013.6582860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper details the vector indexing algorithm for post processing of data in optical time domain reflectometer. Post processing is necessary in OTDR for event detection and feature extraction from the acquired traces. The vector indexing algorithm uses the acquired data trace to extract accurate event location and improve upon the spatial resolution of the OTDR. The proposed algorithm has been tested on our self-developed OTDR board and its performance has been benchmarked against the real measured event locations.\",\"PeriodicalId\":57196,\"journal\":{\"name\":\"光通信研究\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"光通信研究\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1109/NOC-OCI.2013.6582860\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"光通信研究","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/NOC-OCI.2013.6582860","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

本文详细介绍了光时域反射计数据后处理的矢量索引算法。在OTDR中，后处理是必要的，用于从获取的轨迹中进行事件检测和特征提取。矢量索引算法利用采集到的数据轨迹提取准确的事件位置，提高OTDR的空间分辨率。该算法已在我们自行开发的OTDR板上进行了测试，并根据实际测量的事件位置对其性能进行了基准测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Vector indexing algorithm for post processing of OTDR data

The paper details the vector indexing algorithm for post processing of data in optical time domain reflectometer. Post processing is necessary in OTDR for event detection and feature extraction from the acquired traces. The vector indexing algorithm uses the acquired data trace to extract accurate event location and improve upon the spatial resolution of the OTDR. The proposed algorithm has been tested on our self-developed OTDR board and its performance has been benchmarked against the real measured event locations.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

光通信研究

自引率

0.00%

发文量

3588