| Zugriffsnummer | 10395 |
| Dokumenttyp | Zeitschriftenartikel |
| Sprache | Englisch |
| Titel | An optimal vector-network-analyzer calibration algorithm |
| Autor(in); Institution |
Williams, Dylan F.; National Institute of Standards and Technology (NIST), Boulder, CO, USA
Wang, Jack C. M.; National Institute of Standards and Technology (NIST), Boulder, CO, USA
Arz, Uwe; 2.2, Hochfrequenz und Felder, PTB-Braunschweig
|
| Quelle/Jahr | IEEE Transactions on Microwave Theory and Techniques: 51 (2003), 12, 2391 - 2401 |
| ISSN | 0018-9480 |
| Verlag | New York, NY: IEEE |
| Freie Schlagworte | calibration ; measurement ; scattering parameter ; uncertainty ; vector network analyzer (VNA) |
| Zusammenfassung | We present an iterative algorithm for calibrating vector network analyzers based on orthogonal distance regression. The algorithm features a robust, yet efficient, search algorithm, an error analysis that includes both random and systematic errors, a full covariance matrix relating calibration and measurement errors, 95% coverage factors, and an easy-to-use user interface that supports a wide variety of calibration standards. We also discuss evidence that the algorithm outperforms the MultiCal software package in the presence of measurement errors and accurately estimates the uncertainty of its results. Finally,we will discuss the algorithm’s uncertainty estimates, which we chose to express as a covariance matrix relating uncertainties in the calibration and the measurements of the DUT. |