Kevin Coakley, Jolene Splett, Michael D. Janezic, Raian K. Kaiser
We estimate the quality factor Q and resonant frequency f0 of a microwave cavity based on resonance curve observations on an equally-spaced frequency grid. The observed resonance curve is the squared magnitude of an observed complex scattering parameter. We characterize the variance of the additive noise in the observed resonance curve parametrically. Based on this noise characterization, we estimate Q and f0 and other associated model parameters by the method of weighted least squares (WLS). Based on asymptotic statistical theory, we also estimate the one-sigma uncertainty of Q and f0. In a simulation study, the WLS method outperforms the 3-dB method and the Estin method. For real data, we show that the WLS method yields the most precise estimates. Given that the resonance curve is sampled at a fixed number of equally-spaced frequencies in the neighborhood of the resonant frequency, we determine the optimal frequency spacing in order to minimize the asymptotic standard deviation of the estimate of either Q and f0.
IEEE Transactions on Microwave Theory and Techniques
cavity, experimental design, microwave, noise characterization, optimal frequency spacing, quality factor, resonance curve, resonant frequency