Binbin Fan, Weihong Wan, Dai Zhang, Jianfeng Hou, Fangsheng Li
{"title":"基于改进k均值聚类算法的M-DPSK相位检索","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":"{\"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}","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}
Phase retrieval of M-DPSK based on improved K-means clustering algorithm
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.