skrf.calibration.calibration.TUGMultilineTRL

class skrf.calibration.calibration.TUGMultilineTRL(line_meas, line_lengths, er_est=1 + 0j, reflect_meas=None, reflect_est=None, reflect_offset=0, ref_plane=0, *args, **kwargs)

TUG Multiline TRL calibration.

An improved multiline TRL calibration procedure that generalizes the calibration process by solving a single 4x4 weighted eigenvalue problem.

The overall algorithm is based on [1], but the weighting matrix calculation is based on [2]. You can read the mathematical details online at [3].

The calibration reference plane is at the edges of the first line. By default, the reference impedance of the calibration is the characteristic impedance of the transmission lines. If the characteristic impedance is known, the reference impedance can be renormalized afterwards by running the method renormalize().

Examples

>>> line1 = rf.Network('line1.s2p')
>>> line2 = rf.Network('line2.s2p')
>>> line3 = rf.Network('line3.s2p')
>>> short = rf.Network('short.s2p')
>>> dut   = rf.Network('dut.s2p')

Normal multiline TRL calibration:

>>> cal = rf.TUGMultilineTRL(line_meas=[line1,line2,line3], line_lengths=[0, 1e-3, 5e-3], er_est=4-.0j,
>>>        reflect_meas=short, reflect_est=-1, reflect_offset=0)
>>> dut_cal = cal.apply_cal(dut)

Case of not using reflect measurements:

>>> cal = rf.TUGMultilineTRL(line_meas=[line1,line2,line3], line_lengths=[0, 1e-3, 5e-3], er_est=4-.0j)
>>> dut_cal = cal.apply_cal(dut)  # only S21 and S12 are correct

References

[1]

Z. Hatab, M. Gadringer and W. Bösch, “Improving The Reliability of The Multiline TRL Calibration Algorithm,” _2022 98th ARFTG Microwave Measurement Conference (ARFTG)_, Las Vegas, NV, USA, 2022, pp. 1-5, doi: https://doi.org/10.1109/ARFTG52954.2022.9844064

[2]

Z. Hatab, M. Gadringer and W. Bösch, “Propagation of Linear Uncertainties through Multiline Thru-Reflect-Line Calibration,”

2023, e-print: https://arxiv.org/abs/2301.09126

[3]

https://ziadhatab.github.io/posts/multiline-trl-calibration/

See also

NISTMultilineTRL

Attributes

T_matrices	Intermediate matrices used for embedding and de-embedding.
biased_error	Estimate of biased error for overdetermined calibration with multiple connections of each standard.
caled_ntwk_sets	Return a NetworkSet for each caled_ntwk, grouped by their names.
caled_ntwks	List of the corrected calibration standards.
coefs	Dictionary or error coefficients in form of numpy arrays.
coefs_12term	Dictionary of error coefficients for 12-term Model.
coefs_12term_ntwks	Dictionary or error coefficients in form of Network objects.
coefs_3term	Dictionary of error coefficients for One-port Error model.
coefs_3term_ntwks	Dictionary of error coefficients in form of Network objects.
coefs_8term	Dictionary of error coefficients for 8-term (Error-box) Model.
coefs_8term_ntwks	Dictionary of error coefficients in form of Network objects.
coefs_ntwks	Dictionary of error coefficients in form of Network objects.
er_eff	Relative effective permittivity of the solved line.
error_ntwk	The calculated error Network or Network[s].
family
frequency	Frequency object of the calibration.
gamma	Propagation constant of the solved line.
lambd	Eigenvalue of the weighted eigendecomposition.
measured_unisolated
measured_unterminated
normalized_directivity	Directivity normalized to the reflection tracking.
nstandards	Number of ideal/measurement pairs in calibration.
output_from_run	Return any output from the run().
residual_ntwk_sets	Returns a NetworkSet for each residual_ntwk, grouped by their names.
residual_ntwks	Dictionary of residual Networks.
total_error	Estimate of total error for overdetermined calibration with multiple connections of each standard.This is the combined effects of both biased and un-biased errors.
unbiased_error	Estimate of unbiased error for overdetermined calibration with multiple connections of each standard.
verify_12term
verify_12term_ntwk

Methods

__init__	TUGMultilineTRL initializer.
apply_cal	Applies the calibration to the input network.
apply_cal_to_all_in_dir	Apply correction to all touchstone files in a given directory.
apply_cal_to_list	Apply correction to list or dict of Networks.
apply_cal_to_network_set	Apply correction to a NetworkSet.
embed	Applies the error boxes to the calibrated input network.
from_coefs	Create a calibration from its error coefficients.
from_coefs_ntwks	Create a calibration from its error coefficients.
plot_caled_ntwks	Plot corrected calibration standards.
plot_calibration_errors	Plot biased, unbiased and total error in dB scaled.
plot_residuals	Plot residual networks.
pop	Remove and return tuple of (ideal, measured) at index.
remove_and_cal	Remove a cal standard and correct it, returning correct and ideal.
renormalize	Renormalizes the calibration error boxes to a new reference impedance.
run	Run the calibration algorithm.
terminate	Terminate a network with switch terms.
unterminate	Unterminates switch terms from a raw measurement.
update_coefs	Update current dict of error coefficients.
write	Write the Calibration to disk using write().