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Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration

Lujuan Dang Badong Chen Yulong Huang Yonggang Zhang Haiquan Zhao

自动化学报（英文版）2022，Vol.9Issue(3)：450-465,16.

自动化学报（英文版）2022，Vol.9Issue(3)：450-465,16.DOI:10.1109/JAS.2021.1004350

Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration

Lujuan Dang ¹Badong Chen ¹Yulong Huang ²Yonggang Zhang ²Haiquan Zhao³

作者信息

1. Institute of Artificial Intelligence and Robotics,Xi'an Jiaotong University,Xi'an 710049,China
2. Department of Automation,Harbin Engineering University,Harbin 150001,China
3. School of Electrical Engineering,Southwest Jiao-tong University,Chengdu 610000,China
折叠

摘要

关键词

Cubature Kalman filter (CKF)/inertial navigation system (INS)/global positioning system (GPS) integration/minimum error entropy with fiducial points (MEEF)/non-Gaussian noise

Key words

Cubature Kalman filter (CKF)/inertial navigation system (INS)/global positioning system (GPS) integration/minimum error entropy with fiducial points (MEEF)/non-Gaussian noise

引用本文复制引用

Lujuan Dang,Badong Chen,Yulong Huang,Yonggang Zhang,Haiquan Zhao..Cubature Kalman Filter Under Minimum Error Entropy With Fiducial Points for INS/GPS Integration[J].自动化学报（英文版）,2022,9(3):450-465,16.

基金项目

This work was supported by the Fundamental Research Funds for the Central Universities(xzy022020045)and the National Natural Science Foundation of China(61976175). （xzy022020045）

自动化学报（英文版）

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