Binbin Fan, Weihong Wan, Dai Zhang, Jianfeng Hou, Fangsheng Li
{"title":"Phase retrieval of M-DPSK based on improved K-means clustering algorithm","authors":"Binbin Fan, Weihong Wan, Dai Zhang, Jianfeng Hou, Fangsheng Li","doi":"10.1109/CTISC49998.2020.00015","DOIUrl":null,"url":null,"abstract":"The procedure of self-differential detection in free space optical (FSO) communication is analyzed in our research, based on which, analytic expressions of the detected signals are derived. According to the derived expressions, low-order wavefront aberration would still exist after transmitted through self-differential interference structure, meanwhile, detected phases would be easily affected by noises from the detectors under a low signal-to-noise ratio (SNR) condition. Aimed at solving above problems, improved K-means clustering algorithm is designed and applied in our research. Simulation results show that the proposed method could successfully improve the quality of phase retrieval for M-DPSK modulation under circumstances of different SNR and transmission rates. Moreover, adaptive communication could be achieved through calculating loss function based on the rule of fuzzy clustering.","PeriodicalId":266384,"journal":{"name":"2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Advances in Computer Technology, Information Science and Communications (CTISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CTISC49998.2020.00015","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
The procedure of self-differential detection in free space optical (FSO) communication is analyzed in our research, based on which, analytic expressions of the detected signals are derived. According to the derived expressions, low-order wavefront aberration would still exist after transmitted through self-differential interference structure, meanwhile, detected phases would be easily affected by noises from the detectors under a low signal-to-noise ratio (SNR) condition. Aimed at solving above problems, improved K-means clustering algorithm is designed and applied in our research. Simulation results show that the proposed method could successfully improve the quality of phase retrieval for M-DPSK modulation under circumstances of different SNR and transmission rates. Moreover, adaptive communication could be achieved through calculating loss function based on the rule of fuzzy clustering.