{"title":"MIPI C-PHY 的眼球估计方法","authors":"Yu-Ying Cheng;Pei-Yang Weng;Suani-Kai Yang;Shih-Hsien Wu;Tzong-Lin Wu","doi":"10.1109/TSIPI.2024.3396436","DOIUrl":null,"url":null,"abstract":"Mobile industry processor interface (MIPI) C-PHY is a signal transmission interface with three-phase encoding technology on the three-wire high-speed channel. The traditional method of superposition to generate an eye diagram on this kind of channel is time-consuming. The novel eye estimation methods for the C-PHY protocol are proposed. A new greedy algorithm and dynamic programming method are proposed to predict the worst-case eye diagram, respectively. The accuracy and efficiency of these two methods are compared. In addition, the algorithms for estimating the statistical eye diagram of MIPI C-PHY with and without considering the driver nonlinearity are also proposed and compared respectively. All the proposed algorithms are validated by experimental measurement. The excellent agreement could be well seen.","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"3 ","pages":"75-84"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Eye Estimation Methods for MIPI C-PHY\",\"authors\":\"Yu-Ying Cheng;Pei-Yang Weng;Suani-Kai Yang;Shih-Hsien Wu;Tzong-Lin Wu\",\"doi\":\"10.1109/TSIPI.2024.3396436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile industry processor interface (MIPI) C-PHY is a signal transmission interface with three-phase encoding technology on the three-wire high-speed channel. The traditional method of superposition to generate an eye diagram on this kind of channel is time-consuming. The novel eye estimation methods for the C-PHY protocol are proposed. A new greedy algorithm and dynamic programming method are proposed to predict the worst-case eye diagram, respectively. The accuracy and efficiency of these two methods are compared. In addition, the algorithms for estimating the statistical eye diagram of MIPI C-PHY with and without considering the driver nonlinearity are also proposed and compared respectively. All the proposed algorithms are validated by experimental measurement. The excellent agreement could be well seen.\",\"PeriodicalId\":100646,\"journal\":{\"name\":\"IEEE Transactions on Signal and Power Integrity\",\"volume\":\"3 \",\"pages\":\"75-84\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Signal and Power Integrity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10518137/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal and Power Integrity","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10518137/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile industry processor interface (MIPI) C-PHY is a signal transmission interface with three-phase encoding technology on the three-wire high-speed channel. The traditional method of superposition to generate an eye diagram on this kind of channel is time-consuming. The novel eye estimation methods for the C-PHY protocol are proposed. A new greedy algorithm and dynamic programming method are proposed to predict the worst-case eye diagram, respectively. The accuracy and efficiency of these two methods are compared. In addition, the algorithms for estimating the statistical eye diagram of MIPI C-PHY with and without considering the driver nonlinearity are also proposed and compared respectively. All the proposed algorithms are validated by experimental measurement. The excellent agreement could be well seen.