Investigation of Segmentation Method for Enhancing High Frequency Simulation Accuracy of Q3D Extractor
Abstract
ANSYS Q3D Extractor is a fast quasi-static 3D solver for extracting lumped RLGC parameters and SPICE models. Although Q3D Extractor is faster than full wave simulation, it results in inaccuracies at high frequency simulation, especially for PCB sructures. This paper proposes a method of improving the accuracy of high frequency simulations by using segmentation. For the convenience of study, a transmission line on PCB is selected as the device under test without sacrificing generality, and HFSS simulation results and measurement data are used as reference. Extensive simulations are performed to investigate the effectiveness of segmentation method. It is found that by dividing the transmission line into a set of electrically small segments, the high frequency simulation accuracy can be effectively enhanced. Some other relevant tips for using Q3D are also presented.
Recommended Citation
C. Che et al., "Investigation of Segmentation Method for Enhancing High Frequency Simulation Accuracy of Q3D Extractor," Proceedings of the 5th IEEE International Conference on Computational Electromagnetics (2019, Shanghai, China), Institute of Electrical and Electronics Engineers (IEEE), Mar 2019.
The definitive version is available at https://doi.org/10.1109/COMPEM.2019.8779105
Meeting Name
5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019 (2019: Mar. 20-22, Shanghai, China)
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Electromagnetic Compatibility (EMC) Laboratory
Keywords and Phrases
Accuracy Enhancement; Q3D Extractor; Segmentation Method
International Standard Book Number (ISBN)
978-153867111-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
22 Mar 2019
Comments
This work is partially supported by the National Nature Science Foundation of China under Grants No. 61701087, No. 61871090, No. 61425010, No. 61721001, and by the Sichuan Science and Technology Program.