2017
DOI: 10.1109/temc.2016.2613338
|View full text |Cite
|
Sign up to set email alerts
|

Stable Simulation of Multiport Passive Distributed Networks Using Time Marching Method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
12
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
3
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(12 citation statements)
references
References 26 publications
0
12
0
Order By: Relevance
“…Time marching (TM) is a common approach used for simulating this kind of systems, which is present in (1) the finite‐difference time‐domain (FDTD) method (eg, previous studies), (2) the Baum‐Liu‐Tesche equations in time domain for a 2‐port case (eg, Tesche), and (3) solving the time‐domain counterparts of multiport network parameters (eg, previous studies).…”
Section: Introductionmentioning
confidence: 99%
See 4 more Smart Citations
“…Time marching (TM) is a common approach used for simulating this kind of systems, which is present in (1) the finite‐difference time‐domain (FDTD) method (eg, previous studies), (2) the Baum‐Liu‐Tesche equations in time domain for a 2‐port case (eg, Tesche), and (3) solving the time‐domain counterparts of multiport network parameters (eg, previous studies).…”
Section: Introductionmentioning
confidence: 99%
“…The main drawback of TM is its late‐time instability, which was traditionally attributed to numerical error accumulation over time and treated with time‐averaging, use of low‐pass Finite Impulse Response (FIR) filters, or use of predictor‐corrector schemes . Nevertheless, it is shown in Becerra et al that the main cause of TM instability is the occurrence of unstable poles in deconvolution operations. These poles appear in the Z‐transform of the deconvolution kernel (usually an impulse response), and hence, the instability is solved by replacing the deconvolution kernel by its minimum phase version …”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations