Bingbing Gao

According to our database, Bingbing Gao authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Windowing-Based Factor Graph Optimization With Anomaly Detection Using Mahalanobis Distance for Underwater INS/DVL/USBL Integration.

Xun Dong, Gaoge Hu, Bingbing Gao, Yongmin Zhong, Wei Ruan

IEEE Trans. Instrum. Meas., 2024

2023

A Hypothesis Test-Constrained Robust Kalman Filter for INS/GNSS Integration With Abnormal Measurement.

Guangle Gao, Bingbing Gao, Shesheng Gao, Gaoge Hu, Yongmin Zhong

IEEE Trans. Veh. Technol., February, 2023

Robust Unscented Kalman Filter-Based Decentralized Multisensor Information Fusion for INS/GNSS/CNS Integration in Hypersonic Vehicle Navigation.

Gaoge Hu, Linyan Xu, Bingbing Gao, Lubin Chang, Yongmin Zhong

IEEE Trans. Instrum. Meas., 2023

2021

Distributed H$\infty$-Constraint Robust Estimator for Multi-Sensor Networked Hybrid Uncertain Systems.

Juan Xia, Shesheng Gao, Guo Li, Xiaomin Qi, Bingbing Gao, Jiahao Zhang

IEEE Trans. Netw. Sci. Eng., 2021

Double-Channel Sequential Probability Ratio Test for Failure Detection in Multisensor Integrated Systems.

Guangle Gao, Yongmin Zhong, Shesheng Gao, Bingbing Gao

IEEE Trans. Instrum. Meas., 2021

Distributed recursive filtering for multi-sensor networked systems with multi-step sensor delays, missing measurements and correlated noise.

Jiahao Zhang, Shesheng Gao, Guo Li, Juan Xia, Xiaomin Qi, Bingbing Gao

Signal Process., 2021

Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling.

Xinhe Zhu, Bingbing Gao, Yongmin Zhong, Chengfan Gu, Kup-Sze Choi

Comput. Biol. Medicine, 2021

Finite-element kalman filter with state constraint for dynamic soft tissue modelling.

Hujin Xie, Jialu Song, Bingbing Gao, Yongmin Zhong, Chengfan Gu, Kup-Sze Choi

Comput. Biol. Medicine, 2021

2020

Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system.

Gaoge Hu, Bingbing Gao, Yongmin Zhong, Chengfan Gu

Inf. Fusion, 2020

Distributed Robust Cubature Information Filtering for Measurement Outliers in Wireless Sensor Networks.

Jiahao Zhang, Shesheng Gao, Xiaomin Qi, Jiahui Yang, Juan Xia, Bingbing Gao

IEEE Access, 2020

Model Predictive Based Unscented Kalman Filter for Hypersonic Vehicle Navigation With INS/GNSS Integration.

Gaoge Hu, Longqiang Ni, Bingbing Gao, Xinhe Zhu, Wei Wang, Yongmin Zhong

IEEE Access, 2020

2019

A Robust Cubature Kalman Filter with Abnormal Observations Identification Using the Mahalanobis Distance Criterion for Vehicular INS/GNSS Integration.

Bingbing Gao, Gaoge Hu, Xinhe Zhu, Yongmin Zhong

Sensors, 2019

Robust Unscented Kalman Filtering With Measurement Error Detection for Tightly Coupled INS/GNSS Integration in Hypersonic Vehicle Navigation.

Gaoge Hu, Bingbing Gao, Yongmin Zhong, Longqiang Ni, Chengfan Gu

IEEE Access, 2019

2018

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

Bingbing Gao, Gaoge Hu, Shesheng Gao, Yongmin Zhong, Chengfan Gu

Sensors, 2018

2017

Random weighting estimation of sampling distributions via importance resampling.

Bingbing Gao, Shesheng Gao, Yongmin Zhong, Chengfan Gu

Commun. Stat. Simul. Comput., 2017