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

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...

Full description

Bibliographic Details
Main Authors: Yuxiao Li, Ciming Zhou, Dian Fan, Sijing Liang, Li Qian
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
optical carrier-based microwave interferometer
fiber optics sensors
microwave photonics
bayesian estimation
frequency fluctuation
Online Access:https://www.mdpi.com/1424-8220/20/11/3079

Internet

https://www.mdpi.com/1424-8220/20/11/3079

Similar Items