skrf.calibration.calibrationAlgorithms.one_port

skrf.calibration.calibrationAlgorithms.one_port(measured, ideals)

Standard algorithm for a one port calibration.

If more than three standards are supplied then a least square algorithm is applied.

Parameters :

measured : list of Network objects or numpy.ndarray

a list of the measured reflection coefficients. The elements of the list can either a kxnxn numpy.ndarray, representing a s-matrix, or list of 1-port Network objects.

ideals : list of Network objects or numpy.ndarray

a list of the ideal reflection coefficients. The elements of the list can either a kxnxn numpy.ndarray, representing a s-matrix, or list of 1-port Network objects.

Returns :

output : a dictionary

output information from the calibration, the keys are

• ‘error coeffcients’: dictionary containing standard error coefficients
• ‘residuals’: a matrix of residuals from the least squared calculation. see numpy.linalg.lstsq() for more info

See also

one_port_nls

for a non-linear least square implementation

Notes

uses numpy.linalg.lstsq() for least squares calculation