Title :
Evaluation of noise parameter extraction methods
Author :
Escotte, Laurent ; Plana, Robert ; Graffeuil, Jacques
Author_Institution :
LAAS CNRS, Univ. Paul Sabatier, Toulouse, France
fDate :
3/1/1993 12:00:00 AM
Abstract :
The influence of the algorithm used for noise parameter fitting on the accuracy of the microwave noise parameter measurements is investigated. Five different commonly used algorithms are compared by a statistical analysis including instrument accuracy specifications. Some of these algorithms are found to be more efficient in terms of available accuracy and computer time. The best predicted available accuracies reported betwen 4 and 20 GHz for each noise parameter compare well with observed accuracies on noise parameter measurements performed with a dedicated test set on a noise standard made of a passive two-port. The accuracy on minimum noise figure is found to be 0.1 dB maximum
Keywords :
S-parameters; electric noise measurement; microwave measurement; statistical analysis; 4 to 20 GHz; SHF; instrument accuracy specifications; microwave noise parameter measurements; minimum noise figure; noise parameter extraction; noise parameter fitting algorithm; passive two-port; statistical analysis; Accuracy; Instruments; Measurement standards; Microwave measurements; Noise figure; Noise measurement; Parameter extraction; Performance evaluation; Statistical analysis; Testing;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on