Title :
Tackling close-to-band passivity violations in passive macro-modeling
Author :
Moning Zhang ; Zuochang Ye
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Abstract :
Passivity enforcement is important for macro-modeling for passive systems from measured or simulated S-parameter data. State-space systems generated from vector fitting usually present strong passivity violation outside the frequency bandwidth especially in the close-to-band (CTB) region. Removing such close-to-band violation is very difficult with existing passivity enforcement techniques without severely sacrificing the accuracy of the model. In this paper we propose a frequency data extension method which aims to reduce or even eliminate such close-to-band violations without sacrificing model accuracy. The generated model can be used in a later stage for further passivity enforcement. Experiments show that with applying the proposed method, the accuracy of the generated model can be significantly improved.
Keywords :
S-parameters; network analysis; passive networks; S-parameter; close-to-band passivity violations; frequency data extension; model accuracy; passive macromodeling; passivity enforcement; state-space model; vector fitting; Accuracy; Approximation algorithms; Bandwidth; Data models; Robustness; Safety; Vectors; S-parameter; passivity enforcement; state-space model;
Conference_Titel :
Design Automation Conference (ASP-DAC), 2014 19th Asia and South Pacific
Conference_Location :
Singapore
DOI :
10.1109/ASPDAC.2014.6742983