{"title":"一种基于随机抖动注入的高速I/O混合信号电路元件表征新技术","authors":"J. Chun, Jae Wook Lee, J. Abraham","doi":"10.1109/ASPDAC.2010.5419875","DOIUrl":null,"url":null,"abstract":"Timing problems in high-speed serial communications are mitigated with phase-interpolator (PI) circuitry. Linearity testing of PI has been challenging, even though PI is widely used in modern high speed I/O architectures. Previous research has focused on implementing additional built-in circuits to measure PI linearity. In this paper, we present a cost effective PI linearity measurement technique which requires no significant modification of existing I/O circuits. Our method uses jitter distributions obtained from random jitter injected into the data channel. Two distributions are separately obtained using undersampling and sampling using PI. The proposed algorithm calculates the differential nonlinearity (DNL) from the difference of these distributions. Simulation results show that the average prediction RMS error for the DNL calculation is 0.31 LSB.","PeriodicalId":152569,"journal":{"name":"2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A novel characterization technique for high speed I/O mixed signal circuit components using random jitter injection\",\"authors\":\"J. Chun, Jae Wook Lee, J. Abraham\",\"doi\":\"10.1109/ASPDAC.2010.5419875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Timing problems in high-speed serial communications are mitigated with phase-interpolator (PI) circuitry. Linearity testing of PI has been challenging, even though PI is widely used in modern high speed I/O architectures. Previous research has focused on implementing additional built-in circuits to measure PI linearity. In this paper, we present a cost effective PI linearity measurement technique which requires no significant modification of existing I/O circuits. Our method uses jitter distributions obtained from random jitter injected into the data channel. Two distributions are separately obtained using undersampling and sampling using PI. The proposed algorithm calculates the differential nonlinearity (DNL) from the difference of these distributions. Simulation results show that the average prediction RMS error for the DNL calculation is 0.31 LSB.\",\"PeriodicalId\":152569,\"journal\":{\"name\":\"2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2010.5419875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 15th Asia and South Pacific Design Automation Conference (ASP-DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2010.5419875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel characterization technique for high speed I/O mixed signal circuit components using random jitter injection
Timing problems in high-speed serial communications are mitigated with phase-interpolator (PI) circuitry. Linearity testing of PI has been challenging, even though PI is widely used in modern high speed I/O architectures. Previous research has focused on implementing additional built-in circuits to measure PI linearity. In this paper, we present a cost effective PI linearity measurement technique which requires no significant modification of existing I/O circuits. Our method uses jitter distributions obtained from random jitter injected into the data channel. Two distributions are separately obtained using undersampling and sampling using PI. The proposed algorithm calculates the differential nonlinearity (DNL) from the difference of these distributions. Simulation results show that the average prediction RMS error for the DNL calculation is 0.31 LSB.