Title :
Vector network analyzer verification algorithms using model with local spectrally selective components
Author :
Savin, Aleksandr A.
Author_Institution :
Res. Inst. of Radio Syst., Tomsk State Univ. of Control Syst. & Radioelectron., Tomsk, Russia
Abstract :
This paper presents verification methods for a calibrated vector network analyzer. The methods are based on a special measurement technique and a model simulating residual errors. Each residual signal has its own unknown frequency properties and known parameters (distance). The properties of the signals are extracted from joint estimation algorithms. Four experiments were performed and verified the proposed methods. Software implemented this methods is also developed.
Keywords :
network analysers; program verification; signal processing; joint estimation algorithms; local spectrally selective components; residual errors; residual signal; vector network analyzer verification algorithms; Connectors; Frequency measurement; Radio frequency; Software; Fourier transform; estimation algorithm; least mean squares (LMS) algorithm; system model; unscented Kalman filter (UKF); vector network analyzer (VNA); verification;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147202