Iteration Bayesian Reweighed Algorithm for Optical Carrier-Based Microwave Interferometry Sensing

This paper proposes a novel iteration Bayesian reweighed (IBR) algorithm to obtain accurate estimates of a measurement parameter that uses only a few noisy measurement data. The method is applied to optimize the frequency fluctuation in an optical carrier-based microwave interferometry (OCMI) system...

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Bibliografiska uppgifter
Huvudupphovsmän: Yuxiao Li, Ciming Zhou, Dian Fan, Sijing Liang, Li Qian
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-05-01
Serie:Sensors
Ämnen:
optical carrier-based microwave interferometer
fiber optics sensors
microwave photonics
bayesian estimation
frequency fluctuation
Länkar:https://www.mdpi.com/1424-8220/20/11/3079
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