{"title":"一种基于线性卡尔曼滤波器的载波相位恢复方案","authors":"Nannan Zhang, Zibo Zheng, Ruipu Guo, Nan Cui, Hengying Xu, Wenbo Zhang, Lixia Xi, Xiaoguang Zhang","doi":"10.1109/ICAIT.2018.8686499","DOIUrl":null,"url":null,"abstract":"This paper introduces a carrier phase recovery scheme based on the linear Kalman filter (LKF). The scheme presents its advantages by simulation and experiment with the comparisons to blind phase search (BPS) algorithm. The simulation results show that LKF method has low OSNR penalty and low complexity. And the experiment results also exhibit that this scheme has advantages over BPS. When the laser linewidth is 1MHz, OSNR penalty of LKF is reduced by 0.47dB compared to BPS for polarization division multiplexing 16QAM (PDM-16QAM) signals. Additionally, the proposed LKF scheme also shows lower computational complexity, the LKF only need 60% of the computation time of the BPS.","PeriodicalId":367029,"journal":{"name":"2018 10th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Carrier Phase Recovery Scheme Based on Linear Kalman Filter\",\"authors\":\"Nannan Zhang, Zibo Zheng, Ruipu Guo, Nan Cui, Hengying Xu, Wenbo Zhang, Lixia Xi, Xiaoguang Zhang\",\"doi\":\"10.1109/ICAIT.2018.8686499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a carrier phase recovery scheme based on the linear Kalman filter (LKF). The scheme presents its advantages by simulation and experiment with the comparisons to blind phase search (BPS) algorithm. The simulation results show that LKF method has low OSNR penalty and low complexity. And the experiment results also exhibit that this scheme has advantages over BPS. When the laser linewidth is 1MHz, OSNR penalty of LKF is reduced by 0.47dB compared to BPS for polarization division multiplexing 16QAM (PDM-16QAM) signals. Additionally, the proposed LKF scheme also shows lower computational complexity, the LKF only need 60% of the computation time of the BPS.\",\"PeriodicalId\":367029,\"journal\":{\"name\":\"2018 10th International Conference on Advanced Infocomm Technology (ICAIT)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Advanced Infocomm Technology (ICAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIT.2018.8686499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Advanced Infocomm Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT.2018.8686499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Carrier Phase Recovery Scheme Based on Linear Kalman Filter
This paper introduces a carrier phase recovery scheme based on the linear Kalman filter (LKF). The scheme presents its advantages by simulation and experiment with the comparisons to blind phase search (BPS) algorithm. The simulation results show that LKF method has low OSNR penalty and low complexity. And the experiment results also exhibit that this scheme has advantages over BPS. When the laser linewidth is 1MHz, OSNR penalty of LKF is reduced by 0.47dB compared to BPS for polarization division multiplexing 16QAM (PDM-16QAM) signals. Additionally, the proposed LKF scheme also shows lower computational complexity, the LKF only need 60% of the computation time of the BPS.
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