This paper proposes a compact synthesis approach for reduced-order behavioral macromodels of linear circuit blocks for RF and Mixed-Signal design. The proposed approach revitalizes the classical synthesis of lumped linear and timeinvariant multiport networks by reactance extraction, which is here exploited to obtain reduced-order equivalent SPICE netlists that can be used in any type of system-level simulations, including transient and noise analysis. The effectiveness of proposed approach is demonstrated on a real design application.
Noise compliant macromodel synthesis for RF and Mixed-Signal applications / Olivadese, SALVATORE BERNARDO; GRIVET TALOCIA, Stefano; Brenner, P.. - STAMPA. - (2013), pp. 129-132. (Intervento presentato al convegno 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging and Systems tenutosi a San Jose (CA) USA nel October 27-30) [10.1109/EPEPS.2013.6703482].
Noise compliant macromodel synthesis for RF and Mixed-Signal applications
OLIVADESE, SALVATORE BERNARDO;GRIVET TALOCIA, STEFANO;
2013
Abstract
This paper proposes a compact synthesis approach for reduced-order behavioral macromodels of linear circuit blocks for RF and Mixed-Signal design. The proposed approach revitalizes the classical synthesis of lumped linear and timeinvariant multiport networks by reactance extraction, which is here exploited to obtain reduced-order equivalent SPICE netlists that can be used in any type of system-level simulations, including transient and noise analysis. The effectiveness of proposed approach is demonstrated on a real design application.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2525140
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