Identification of continuous systems
Identification of continuous systems
RF microelectronics
Compact modeling of nonlinear distortion in analog communication circuits
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Distortion Analysis of Analog Integrated Circuits
Distortion Analysis of Analog Integrated Circuits
Interactive symbolic distortion analysis of analogue integrated circuits
EURO-DAC '91 Proceedings of the conference on European design automation
PRIMA: passive reduced-order interconnect macromodeling algorithm
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Efficient linear circuit analysis by Pade approximation via the Lanczos process
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In this paper we propose a frequency-separation methodology to generate system-level macromodels for analog and RF circuits. The proposed macromodels are similar in form to those based on Volterra kernel calculations, but are much simpler in terms of characterization and overall model complexity, and can be derived from existing device models. This simplicity is realized by applying some basic assumptions on the form of the input excitations, and via separation of the nonlinearities from the dynamic behavior. In addition, by further separating the ideal model functionality, this macromodel is applicable to strongly nonlinear components such as mixers. While time-varying Volterra series models have been proposed for mixers with a fixed local oscillation (LO) signal, the proposed frequency separation model is completely general and can capture the variations of the LO input during a system-level simulation. The proposed macromodels are demonstrated in a system-level simulation tool based on Simulink for efficient evaluation of the entire RF system and associated components. A GSM receiver system in 0.25μm CMOS process is used to demonstrate the efficacy of these macromodels in our system-level simulation environment.