{"title":"GaN HEMT模型中的俘获效应分析","authors":"Weiqiang Qian, Mehdi Khan, Dong Huang, F. Lin","doi":"10.1109/IMWS-AMP.2015.7324919","DOIUrl":null,"url":null,"abstract":"This paper presents the large-signal modeling of the trapping effect in GaN HEMT device. Trapping effect leads to strong dispersion from pulsed I-V down to dc scales in GaN device modeling. The trapping mechanism is analyzed in detail. Several published methods have been introduced, to deal with large-signal modeling. A modified Angelov model with drain-lag subcircuit is proposed. This model can reproduce the asymmetrical behavior of traps which include capture and emission processes. It can predict pulse I-V and DC measurement. Comparison results between the measured and modeled I-V data are presented, which demonstrates accurately in different bias condition.","PeriodicalId":6625,"journal":{"name":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","volume":"27 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of trapping effect in GaN HEMT modeling\",\"authors\":\"Weiqiang Qian, Mehdi Khan, Dong Huang, F. Lin\",\"doi\":\"10.1109/IMWS-AMP.2015.7324919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the large-signal modeling of the trapping effect in GaN HEMT device. Trapping effect leads to strong dispersion from pulsed I-V down to dc scales in GaN device modeling. The trapping mechanism is analyzed in detail. Several published methods have been introduced, to deal with large-signal modeling. A modified Angelov model with drain-lag subcircuit is proposed. This model can reproduce the asymmetrical behavior of traps which include capture and emission processes. It can predict pulse I-V and DC measurement. Comparison results between the measured and modeled I-V data are presented, which demonstrates accurately in different bias condition.\",\"PeriodicalId\":6625,\"journal\":{\"name\":\"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)\",\"volume\":\"27 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMWS-AMP.2015.7324919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMWS-AMP.2015.7324919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the large-signal modeling of the trapping effect in GaN HEMT device. Trapping effect leads to strong dispersion from pulsed I-V down to dc scales in GaN device modeling. The trapping mechanism is analyzed in detail. Several published methods have been introduced, to deal with large-signal modeling. A modified Angelov model with drain-lag subcircuit is proposed. This model can reproduce the asymmetrical behavior of traps which include capture and emission processes. It can predict pulse I-V and DC measurement. Comparison results between the measured and modeled I-V data are presented, which demonstrates accurately in different bias condition.