skrf.calibration.calibration.PHN

class skrf.calibration.calibration.PHN(measured, ideals, *args, **kwargs)

Pair of Half Knowns (Oneport Calibration).

One-port self-calibration, which contains two fully-known arbitrary impedance standards, and two partially-known standards (such as open or short circuits with unknown phase). See __init__() for the correct parameters order.

This is a generalization of the SDDL calibration algorithm, see [1].

Important

Unfortunately, due to a square-root sign ambiguity in the solution of a quadratic equation, this algorithm can be unstable. While it has proven to be reliable in rectangular waveguide calibration scenarios, it often fails for arbitrary-impedance standards with random reflection coefficients. This is a major drawback in the current solution, but the authors believe this problem may be overcome analytically by future research.

References

[1]

A. Arsenovic, R. M. Weikle, and J. L. Hesler, “Reflectometer calibration with a pair of partially known standards,” European Microwave Conference, pp. 327–330, Dec. 2015, doi: 10.1109/EUMC.2015.7345766.

Attributes

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.
error_ntwk	The calculated error Network or Network[s].
family
frequency	Frequency object of the calibration.
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__	Half-Half-Full-Full initializer.
apply_cal	Apply correction to a 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	Embed an ideal response in the estimated error network[s]
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.
run	Run the calibration algorithm.
update_coefs	Update current dict of error coefficients.
write	Write the Calibration to disk using write().