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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31106
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dc.contributor.authorSpotts I-
dc.contributor.authorHarrison Brodie C-
dc.contributor.authorAndrew Gadsden S-
dc.contributor.authorAl-Shabi M-
dc.contributor.authorCollier CM-
dc.date.accessioned2025-02-27T01:01:47Z-
dc.date.available2025-02-27T01:01:47Z-
dc.date.issued2020-10-20-
dc.identifier.issn1559-128X-
dc.identifier.issn2155-3165-
dc.identifier.urihttp://hdl.handle.net/11375/31106-
dc.description.abstractThis work explores a theoretical solution for noise reduction in photonic systems using blackbody radiators. Traditionally, signal noise can be reduced by increasing the integration time during signal acquisition. However, increasing the integration time during signal acquisition will reduce the acquisition speed of the signal. By developing and applying a filter using a model based on the theoretical equations for blackbody radiation, the noise of the signal can be reduced without increasing integration time. In this work, three filters, extended Kalman filter, unscented Kalman filter (UKF), and extended sliding innovation filter (ESIF), are compared for blackbody photonic systems. The filters are tested on a simulated signal fromfive scenarios, each simulating different experimental conditions. In particular, the nonlinear filters, UKF and ESIF, showed a significant reduction of noise from the simulated signal in each scenario. The results show great promise for photonic systems using blackbody radiators that require post-process for noise reduction.-
dc.publisherOptica Publishing Group-
dc.subject4007 Control Engineering, Mechatronics and Robotics-
dc.subject40 Engineering-
dc.titleComparison of nonlinear filtering techniques for photonic systems with blackbody radiation.-
dc.typeArticle-
dc.date.updated2025-02-27T01:01:46Z-
dc.contributor.departmentMechanical Engineering-
dc.identifier.doihttps://doi.org/10.1364/ao.403484-
Appears in Collections:Mechanical Engineering Publications

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