Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter

Author： Gao Bingbing   Hu Gaoge   Gao Shesheng   Zhong Yongmin   Gu Chengfan  

Publisher： MDPI

E-ISSN： 1424-8220|18|2|488-488

ISSN： 1424-8220

Source： Sensors, Vol.18, Iss.2, 2018-02, pp. : 488-488

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Finite Element Modelling of a Field-Sensed Magnetic Suspended System for Accurate Proximity Measurement Based on a Sensor Fusion Algorithm with Unscented Kalman Filter

By Chowdhury Amor   Sarjaš Andrej  

Sensors, Vol. 16, Iss. 9, 2016-09 ,pp. : 1504-1504

MDPI

Access to resources Recommend Favorite

A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes

By Lei Yaguo   Lin Jing   He Zhengjia   Kong Detong  

Sensors, Vol. 12, Iss. 2, 2012-02 ,pp. : 2005-2017

MDPI

Access to resources Recommend Favorite

Gyro Drift Correction for An Indirect Kalman Filter Based Sensor Fusion Driver

By Lee Chan-Gun   Dao Nhu-Ngoc   Jang Seonmin   Kim Deokhwan   Kim Yonghun   Cho Sungrae  

Sensors, Vol. 16, Iss. 6, 2016-06 ,pp. : 864-864

MDPI

Access to resources Recommend Favorite

A Robust Adaptive Unscented Kalman Filter for Nonlinear Estimation with Uncertain Noise Covariance

By Zheng Binqi   Fu Pengcheng   Li Baoqing   Yuan Xiaobing  

Sensors, Vol. 18, Iss. 3, 2018-03 ,pp. : 808-808

MDPI

Access to resources Recommend Favorite

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

By Dong Jiang   Zhuang Dafang   Huang Yaohuan   Fu Jingying  

Sensors, Vol. 9, Iss. 10, 2009-09 ,pp. : 7771-7784

MDPI

Access to resources Recommend Favorite