AWE: Asymptotic Waveform Estimator
نویسنده
چکیده
Asymptotic Waveform Estimator (AWE) is a waveform estimator for general RC networks which can be used to estimate signal propagation delays through VLSI interconnects. The interconnects are modeled as resistors and capacitors connected such that each node has a capacitance to ground. State variable approach is used to obtain the steady-state asymptotes and the Forward Euler approximation for the capacitors is used to obtain the homogeneous solution. This approach is quite general and consequently AWE can handle RC networks with floating capacitors, grounded resistors and multiple drivers. The inputs are assumed to be ramps of finite slope and can be modeled either as voltage sources or current sources. RC networks with non-zero initial charge are solved by using the principle of superposition. The network is first solved with all the node voltages set to zero. The discharging phenomenon is solved separately by using the principle of conservation of charge. The two solutions are then superposed to obtain the total solution.
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