Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise

Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise

This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance of the measurement noise. On this basis, a hy...

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Bibliographic Details
Main Authors: Yuepeng Shi, Xianfeng Tang, Xiaoliang Feng, Dingjun Bian, Xizhao Zhou
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Sensors
Subjects:
nonlinear system
hybrid adaptive filtering
weighted fusion estimation
square-root cubature Kalman filter
information filter
Online Access:https://www.mdpi.com/1424-8220/18/12/4335

Internet

https://www.mdpi.com/1424-8220/18/12/4335

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