An Efficient Noise Analysis of SIS Array Mixer Based on Expanded Noise Correlation Matrices
This paper extends noise correlation matrices based on linear two-port networks to describe nonlinear tri-frequency mixing networks, from which a computer-aided noise analysis method for superconductor-insulator-superconductor (SIS) mixers has been established. The noise correlation matrices used he...
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| Veröffentlicht in: | IEEE transactions on applied superconductivity 2019-08, Vol.29 (5), p.1-4 |
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| container_title | IEEE transactions on applied superconductivity |
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| creator | Wu, Wentao Gao, Bo Wang, Zhen Shan, Wenlei |
| description | This paper extends noise correlation matrices based on linear two-port networks to describe nonlinear tri-frequency mixing networks, from which a computer-aided noise analysis method for superconductor-insulator-superconductor (SIS) mixers has been established. The noise correlation matrices used here provide an alternative noise analysis approach that differs from the noise scattering matrix approach used in SuperMix software. As a case study, we performed a noise analysis of an existing millimeter wave series-connected distributed junction mixer with an embedded on-chip bias-T. The simulated results show that the novel series-connected distributed junction mixer presented here has the potential to provide low noise performance over wide Intermediate Frequency and Radio Frequency bandwidth. |
| doi_str_mv | 10.1109/TASC.2019.2903181 |
| format | Article |
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The noise correlation matrices used here provide an alternative noise analysis approach that differs from the noise scattering matrix approach used in SuperMix software. As a case study, we performed a noise analysis of an existing millimeter wave series-connected distributed junction mixer with an embedded on-chip bias-T. The simulated results show that the novel series-connected distributed junction mixer presented here has the potential to provide low noise performance over wide Intermediate Frequency and Radio Frequency bandwidth.</description><identifier>ISSN: 1051-8223</identifier><identifier>EISSN: 1558-2515</identifier><identifier>DOI: 10.1109/TASC.2019.2903181</identifier><identifier>CODEN: ITASE9</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Admittance ; Artificial neural networks ; Computer simulation ; computer-aided noise analysis ; Correlation ; Impedance ; Integrated circuit interconnections ; Junctions ; Low noise ; Mathematical analysis ; Matrix methods ; Millimeter waves ; Mixers ; Noise correlation matrix ; shot noise ; SIS (superconductors) ; superconductor–insulator–superconductor mixer ; Test methods ; two-port network</subject><ispartof>IEEE transactions on applied superconductivity, 2019-08, Vol.29 (5), p.1-4</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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The noise correlation matrices used here provide an alternative noise analysis approach that differs from the noise scattering matrix approach used in SuperMix software. As a case study, we performed a noise analysis of an existing millimeter wave series-connected distributed junction mixer with an embedded on-chip bias-T. The simulated results show that the novel series-connected distributed junction mixer presented here has the potential to provide low noise performance over wide Intermediate Frequency and Radio Frequency bandwidth.</description><subject>Admittance</subject><subject>Artificial neural networks</subject><subject>Computer simulation</subject><subject>computer-aided noise analysis</subject><subject>Correlation</subject><subject>Impedance</subject><subject>Integrated circuit interconnections</subject><subject>Junctions</subject><subject>Low noise</subject><subject>Mathematical analysis</subject><subject>Matrix methods</subject><subject>Millimeter waves</subject><subject>Mixers</subject><subject>Noise correlation matrix</subject><subject>shot noise</subject><subject>SIS (superconductors)</subject><subject>superconductor–insulator–superconductor mixer</subject><subject>Test methods</subject><subject>two-port network</subject><issn>1051-8223</issn><issn>1558-2515</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhoMoWKs_QLwseE7dr0myxxiqFlo9tJ48LJvNBLbUpO6m0P57t0Q8zQvzPAPzJsk9ozPGqHralOtqxilTM66oYAW7SCYMoEg5MLiMmQJLC87FdXITwpZSJgsJk-Sr7Mi8bZ112A3kvXcBSdmZ3Sm4QPqWrBdrUnpvTmTljujJswnYkD5Kx73pmphHp-q9x50ZXFytzOCdxXCbXLVmF_Dub06Tz5f5pnpLlx-vi6pcppZLGNICCiXqXGKjgLe2tlKojGcIuaRW1C1YAZhHVtocFDMCTCMzUCgyBbUSYpo8jnf3vv85YBj0tj_4-ETQnDMpRVQhUmykrO9D8NjqvXffxp80o_rcoT53qM8d6r8Oo_MwOg4R__kiy6jMhPgFlaBrXg</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Wu, Wentao</creator><creator>Gao, Bo</creator><creator>Wang, Zhen</creator><creator>Shan, Wenlei</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Admittance Artificial neural networks Computer simulation computer-aided noise analysis Correlation Impedance Integrated circuit interconnections Junctions Low noise Mathematical analysis Matrix methods Millimeter waves Mixers Noise correlation matrix shot noise SIS (superconductors) superconductor–insulator–superconductor mixer Test methods two-port network |
| title | An Efficient Noise Analysis of SIS Array Mixer Based on Expanded Noise Correlation Matrices |
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