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Simulation and Optimization Documentation

Simulation

Details on using the RF Design Environment simulation controllers: DC, AC, S-Parameter, Harmonic Balance, Circuit Envelope, and Transient/Convolution.

DC Simulation

Details on using the DC simulation controller. This controller is fundamental to all RF/Analog simulations. It performs a topology check and an analysis of the DC operating point. It is typically used for all Analog/RF designs.

AC Simulation

Details on using the AC simulation controller. This controller obtains small-signal transfer parameters like voltage gain, current gain, and linear noise voltage and currents. It is typically used for filter and amplifier designs.

S-Parameter Simulation

Details on using the S-Parameter simulation controller. This controller provides linear S-parameter, linear noise parameters, transimpedance, and transadmittance. Can be used to achieve many goals of the AC simulator. It is typically used for filter, oscillator, and amplifier designs.

Harmonic Balance Simulation

Details on using the Harmonic Balance simulation controller. This controller uses nonlinear harmonic-balance techniques to find the steady-state solution in the frequency domain. It is typically used for mixer, oscillator, power amplifier, and transreceiver designs.

Circuit Envelope Simulation

Details on using the Circuit Envelope simulation controller. This controller uses a combination of frequency- and time-domain analysis techniques to yield a fast and complete analysis of complex signals such as digitally modulated RF signals. It is typically used for mixer, oscillator, power amplifier, and transreceiver, and phase-locked loop designs.

Transient/Convolution Simulation

Details on using the Transient/Convolution simulation controller. This controller solves a nonlinear circuit entirely in the time domain using simplified models to account for the frequency-dependent behavior of distributed elements. It is typically used for mixer, power amplifier, and switching circuit designs.

Optimization and Statistical Design

Details on using Optimization for automatic performance optimization based on a variety of optimizers, and Statistical Design to provide yield analysis and optimization.

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