Robust Estimation of Optical Phase Varying as a Continuous Resonant Process

Abstract

It is well-known that adaptive homodyne estimation of continuously varying optical phase provides superior accuracy in the phase estimate as compared to adaptive or non-adaptive static estimation. However, most phase estimation schemes rely on precise knowledge of the underlying parameters of the system under measurement, and performance deteriorates significantly with changes in these parameters; hence it is desired to develop robust estimation techniques immune to such uncertainties. In related works, we have already shown how adaptive homodyne estimation can be made robust to uncertainty in an underlying parameter of the phase varying as a simplistic Ornstein-Uhlenbeck stochastic noise process. Here, we demonstrate robust phase estimation for a more complicated resonant noise process using a guaranteed cost robust filter.

5 pages, 10 figures, Proceedings of the 2013 Multi-Conference on Systems and Control

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Cited by in corpus (1)

• Robust Smoothing for Estimating Optical Phase Varying as a Continuous Resonant Process