{"title":"利用光纤光栅和低通高斯滤波器进行色散补偿","authors":"A. A. Dahir, Zhihua Yu","doi":"10.1109/ICCCS49078.2020.9118555","DOIUrl":null,"url":null,"abstract":"Fiber Bragg Gratings (FBG) is one of the essential techniques that applied for limiting the dispersion, in this paper we use FBG which is widely used component to compensate dispersion with linear chirp and Tanh apodization function, and additionally we embedded low pass Gaussian filter in the electrical part of the system to improve the Q-factor of the performance and eye diagram. The Q-factor of the system is then investigated with and without the Low pass Gaussian filter. The Q-factor of 30km length of the system with FBG is 20.2748, and by using FBG and Low Pass Gaussian Filter, the Q-factor managed to reach 26.9039; We realize that using FBG and Low Pass Gaussian filter as dispersion compensation element gives a better system performance. The system is analyzed with various fiber lengths and evaluated by using optisystem ver15.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dispersion Compensation by Using FBG and Low Pass Gaussian Filter\",\"authors\":\"A. A. Dahir, Zhihua Yu\",\"doi\":\"10.1109/ICCCS49078.2020.9118555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fiber Bragg Gratings (FBG) is one of the essential techniques that applied for limiting the dispersion, in this paper we use FBG which is widely used component to compensate dispersion with linear chirp and Tanh apodization function, and additionally we embedded low pass Gaussian filter in the electrical part of the system to improve the Q-factor of the performance and eye diagram. The Q-factor of the system is then investigated with and without the Low pass Gaussian filter. The Q-factor of 30km length of the system with FBG is 20.2748, and by using FBG and Low Pass Gaussian Filter, the Q-factor managed to reach 26.9039; We realize that using FBG and Low Pass Gaussian filter as dispersion compensation element gives a better system performance. The system is analyzed with various fiber lengths and evaluated by using optisystem ver15.\",\"PeriodicalId\":105556,\"journal\":{\"name\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS49078.2020.9118555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS49078.2020.9118555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dispersion Compensation by Using FBG and Low Pass Gaussian Filter
Fiber Bragg Gratings (FBG) is one of the essential techniques that applied for limiting the dispersion, in this paper we use FBG which is widely used component to compensate dispersion with linear chirp and Tanh apodization function, and additionally we embedded low pass Gaussian filter in the electrical part of the system to improve the Q-factor of the performance and eye diagram. The Q-factor of the system is then investigated with and without the Low pass Gaussian filter. The Q-factor of 30km length of the system with FBG is 20.2748, and by using FBG and Low Pass Gaussian Filter, the Q-factor managed to reach 26.9039; We realize that using FBG and Low Pass Gaussian filter as dispersion compensation element gives a better system performance. The system is analyzed with various fiber lengths and evaluated by using optisystem ver15.