How to Extract Distributed Circuit Parameters from the Scattering Parameters of a Transmission Line Nathan D
How to extract distributed circuit parameters from the scattering parameters of a transmission line Nathan D. Orloff1, Nina Popovic2, Jasper A. Drisko1, Angela Stelson1, Charles A. E. Little1,2, James C. Booth1, Jordi Mateu3, and Christian J. Long1 1National Institute of Standards and Technology, Boulder, CO, 2University of Colorado, Boulder, CO, 3Universitat Politecnica de Catalunya, Catalunya, Spain Abstract — Distributed circuit parameters parameterize the as a function of frequency. At a high enough frequency, these transmission and reflection off a given transmission line in terms phases produce a branch cut in the argument used to compute of a distributed resistance, inductance, capacitance, and conductance, which are per-unit-length, frequency-dependent the propagation constant, which results in a large discontinuity quantities. While there are analytical models for extracting the in the extracted distributed circuit parameters. distributed circuit parameters, these models are discontinuous as Inspired by previous work, we have developed a nonlinear a function of frequency when the argument approaches a branch least-squares algorithm to mitigate this problem, and permit the cut. Here, we develop a nonlinear least-square regression extraction of the distributed circuit parameters over the full algorithm that accurately extracts the distributed circuit parameters. Compared to existing approaches and finite element frequency regime. Our approach starts with corrected S- models, our algorithm successfully extracts the distributed circuit parameters of a transmission line. We then computed estimates parameters as a function of frequency, all while being less sensitive for the distributed circuit parameters, and scale them such that to these phase conditions. Such an algorithm is useful for they all varied with the same frequency dependence and had an understanding how to deembed transmission lines, and how to order of magnitude close to one.
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