2 research outputs found
Robust Smoothing for Estimating Optical Phase Varying as a Continuous Resonant Process
Continuous phase estimation is known to be superior in accuracy as compared
to static estimation. The estimation process is, however, desired to be made
robust to uncertainties in the underlying parameters. Here, homodyne phase
estimation of coherent and squeezed states of light, evolving continuously
under the influence of a second-order resonant noise process, are made robust
to parameter uncertainties using a robust fixed-interval smoother, designed for
uncertain systems satisfying a certain integral quadratic constraint. We
observe that such a robust smoother provides improved worst-case performance
over the optimal smoother and also performs better than a robust filter for the
uncertain system.Comment: 6 pages, 7 figures, Proceedings of the 2014 European Control
Conference, pp. 896-90
Robust smoothing for estimating optical phase varying as a continuous resonant process
Continuous phase estimation is known to be superior in accuracy as compared to static estimation. The estimation process is, however, desired to be made robust to uncertainties in the underlying parameters. Here, homodyne phase estimation of coherent and squeezed states of light, evolving continuously under the influence of a second-order resonant noise process, are made robust to parameter uncertainties using a robust fixed-interval smoother, designed for uncertain systems satisfying a certain integral quadratic constraint. We observe that such a robust smoother provides improved worst-case performance over the optimal smoother and also performs better than a robust filter for the uncertain system