Title :
Robust filtering for adaptive homodyne estimation of continuously varying optical phase
Author :
Roy, Sandip ; Petersen, Ian R. ; Huntington, Elanor H.
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia
Abstract :
Recently, it has been demonstrated experimentally that adaptive estimation of a continuously varying optical phase provides superior accuracy in the phase estimate compared to static estimation. Here, we show that the mean-square error in the adaptive phase estimate may be further reduced for the stochastic noise process considered by using an optimal Kalman filter in the feedback loop. Further, the estimation process can be made robust to fluctuations in the underlying parameters of the noise process modulating the system phase to be estimated. This has been done using a guaranteed cost robust filter.
Keywords :
adaptive Kalman filters; homodyne detection; mean square error methods; optical feedback; optical filters; optical modulation; optical noise; phase estimation; phase modulation; stochastic processes; adaptive homodyne estimation; continuously varying optical phase; feedback loop; mean-square error method; optimal Kalman filter; phase modulation; robust filtering; stochastic noise; Equations; Kalman filters; Mathematical model; Optical filters; Optimized production technology; Phase estimation; Robustness;
Conference_Titel :
Control Conference (AUCC), 2012 2nd Australian
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-922107-63-3