可预测的产量驱动电路优化

J. Bandler, S. Ye, Q. Cai, R. Biernacki, S.H. Chen
{"title":"可预测的产量驱动电路优化","authors":"J. Bandler, S. Ye, Q. Cai, R. Biernacki, S.H. Chen","doi":"10.1109/MWSYM.1992.188118","DOIUrl":null,"url":null,"abstract":"The authors present a comprehensive approach to predictable yield optimization. They utilize a new physics-based statistical GaAs MESFET model which combines the advantages of the DC Khatibzadeh and Trew model and the small-signal Ladbrooke formulas. The yield of a broadband amplifier was significantly improved after optimization. Predicted yield over a range of specifications was verified by device data. The benefits of simultaneous circuit-device yield optimization assisted by yield sensitivity analysis are demonstrated.<<ETX>>","PeriodicalId":165665,"journal":{"name":"1992 IEEE Microwave Symposium Digest MTT-S","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Predictable yield-driven circuit optimization\",\"authors\":\"J. Bandler, S. Ye, Q. Cai, R. Biernacki, S.H. Chen\",\"doi\":\"10.1109/MWSYM.1992.188118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present a comprehensive approach to predictable yield optimization. They utilize a new physics-based statistical GaAs MESFET model which combines the advantages of the DC Khatibzadeh and Trew model and the small-signal Ladbrooke formulas. The yield of a broadband amplifier was significantly improved after optimization. Predicted yield over a range of specifications was verified by device data. The benefits of simultaneous circuit-device yield optimization assisted by yield sensitivity analysis are demonstrated.<<ETX>>\",\"PeriodicalId\":165665,\"journal\":{\"name\":\"1992 IEEE Microwave Symposium Digest MTT-S\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 IEEE Microwave Symposium Digest MTT-S\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSYM.1992.188118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 IEEE Microwave Symposium Digest MTT-S","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSYM.1992.188118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

作者提出了一种综合的可预测产量优化方法。他们利用了一种新的基于物理的统计GaAs MESFET模型,该模型结合了DC Khatibzadeh和Trew模型以及小信号Ladbrooke公式的优点。优化后的宽带放大器的良率显著提高。通过设备数据验证了在一系列规格范围内的预测产率。在良率敏感性分析的辅助下,演示了同步电路器件良率优化的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Predictable yield-driven circuit optimization
The authors present a comprehensive approach to predictable yield optimization. They utilize a new physics-based statistical GaAs MESFET model which combines the advantages of the DC Khatibzadeh and Trew model and the small-signal Ladbrooke formulas. The yield of a broadband amplifier was significantly improved after optimization. Predicted yield over a range of specifications was verified by device data. The benefits of simultaneous circuit-device yield optimization assisted by yield sensitivity analysis are demonstrated.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Large signal design of broadband monolithic microwave frequency dividers Automotive radar at 80-90 GHz Optimized 0.1 mu m GaAs MESFET's The compensation of coarseness error in 2D TLM modeling of microwave structures Microwave module packaging
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1