{"title":"基于s参数表示的黑盒宏模型电路合成","authors":"J. Schutt-Ainé","doi":"10.1109/SAPIW.2018.8401676","DOIUrl":null,"url":null,"abstract":"This paper explores the circuit synthesis of blackbox macromodels through the use of distributed networks. A lossless transmission-line representation is obtained from the scattering parameter response. The method offers the advantage of generating physical, and nonnegative circuit elements and is relatively easy to implement. The circuit extraction algorithms is studied and tested through the use of simulation to verify the robustness and accuracy of the technique.","PeriodicalId":423850,"journal":{"name":"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Circuit synthesis of blackbox macromodels from S-parameter representation\",\"authors\":\"J. Schutt-Ainé\",\"doi\":\"10.1109/SAPIW.2018.8401676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the circuit synthesis of blackbox macromodels through the use of distributed networks. A lossless transmission-line representation is obtained from the scattering parameter response. The method offers the advantage of generating physical, and nonnegative circuit elements and is relatively easy to implement. The circuit extraction algorithms is studied and tested through the use of simulation to verify the robustness and accuracy of the technique.\",\"PeriodicalId\":423850,\"journal\":{\"name\":\"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAPIW.2018.8401676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 22nd Workshop on Signal and Power Integrity (SPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAPIW.2018.8401676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Circuit synthesis of blackbox macromodels from S-parameter representation
This paper explores the circuit synthesis of blackbox macromodels through the use of distributed networks. A lossless transmission-line representation is obtained from the scattering parameter response. The method offers the advantage of generating physical, and nonnegative circuit elements and is relatively easy to implement. The circuit extraction algorithms is studied and tested through the use of simulation to verify the robustness and accuracy of the technique.