Robust filtering for adaptive homodyne estimation of continuously varying optical phase

Shibdas Roy, Ian R. Petersen, Elanor H. Huntington

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 2nd Australian Control Conference, AUCC 2012
PublisherIEEE Computer Society
Pages454-458
Number of pages5
ISBN (Print)9781922107633
Publication statusPublished - 2012
Externally publishedYes
Event2nd Australian Control Conference, AUCC 2012 - Sydney, NSW, Australia
Duration: 15 Nov 201216 Nov 2012

Publication series

Name2012 2nd Australian Control Conference, AUCC 2012

Conference

Conference2nd Australian Control Conference, AUCC 2012
Country/TerritoryAustralia
CitySydney, NSW
Period15/11/1216/11/12

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