{"title":"基于Binning-Hybrid-Macro方法的BSIM4 MOS模型精确提取","authors":"Chiew Ching Tan, P. Tan","doi":"10.1109/SMELEC.2016.7573598","DOIUrl":null,"url":null,"abstract":"An accurate BSIM4 parameter extraction with Binning-Hybrid-Macro (BHM) methodology has been developed for MOS transistor models. The basic idea of this method is to apply binning on a hybrid-macro model. The comparison between the BHM method and various model extraction methods is discussed. BHM method is more robust and easier to use besides its capability to produce more accurate roll-off fittings compared to other methods. The BHM extraction methodology has been demonstrated on actual silicon from 0.18μm CMOS technology. Accurate model fitting to the measured data has been achieved. The model extracted using BHM method has been tested and verified to be compatible with HSPICE and SPECTRE simulators.","PeriodicalId":169983,"journal":{"name":"2016 IEEE International Conference on Semiconductor Electronics (ICSE)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Accurate BSIM4 MOS model extraction with Binning-Hybrid-Macro methodology\",\"authors\":\"Chiew Ching Tan, P. Tan\",\"doi\":\"10.1109/SMELEC.2016.7573598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An accurate BSIM4 parameter extraction with Binning-Hybrid-Macro (BHM) methodology has been developed for MOS transistor models. The basic idea of this method is to apply binning on a hybrid-macro model. The comparison between the BHM method and various model extraction methods is discussed. BHM method is more robust and easier to use besides its capability to produce more accurate roll-off fittings compared to other methods. The BHM extraction methodology has been demonstrated on actual silicon from 0.18μm CMOS technology. Accurate model fitting to the measured data has been achieved. The model extracted using BHM method has been tested and verified to be compatible with HSPICE and SPECTRE simulators.\",\"PeriodicalId\":169983,\"journal\":{\"name\":\"2016 IEEE International Conference on Semiconductor Electronics (ICSE)\",\"volume\":\"171 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Semiconductor Electronics (ICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMELEC.2016.7573598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Semiconductor Electronics (ICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMELEC.2016.7573598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accurate BSIM4 MOS model extraction with Binning-Hybrid-Macro methodology
An accurate BSIM4 parameter extraction with Binning-Hybrid-Macro (BHM) methodology has been developed for MOS transistor models. The basic idea of this method is to apply binning on a hybrid-macro model. The comparison between the BHM method and various model extraction methods is discussed. BHM method is more robust and easier to use besides its capability to produce more accurate roll-off fittings compared to other methods. The BHM extraction methodology has been demonstrated on actual silicon from 0.18μm CMOS technology. Accurate model fitting to the measured data has been achieved. The model extracted using BHM method has been tested and verified to be compatible with HSPICE and SPECTRE simulators.