Baoshuang Ge - researchr alias

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Viewing Publication 1 - 5 from 5

2023

A Redundant Measurement-Based Maximum Correntropy Extended Kalman Filter for the Noise Covariance Estimation in INS/GNSS IntegrationDapeng Wang, Hai Zhang, Hongliang Huang, Baoshuang Ge. remotesensing, 15(9):2430, May 2023. [doi]

2021

Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information FusionDapeng Wang, Hai Zhang, Baoshuang Ge. sensors, 21(17):5808, 2021. [doi]

2020

Enhanced Redundant Measurement-Based Kalman Filter for Measurement Noise Covariance Estimation in INS/GNSS IntegrationBaoshuang Ge, Hai Zhang, Wenxing Fu, Jianbing Yang. remotesensing, 12(21):3500, 2020. [doi]

2019

Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise CovarianceBaoshuang Ge, Hai Zhang, Liuyang Jiang, Zheng Li, Maaz Mohammed Butt. sensors, 19(6):1371, 2019. [doi]

Multi-Process Training GAN for Identity-Preserving Face SynthesisZhiyong Tang, Jianbing Yang, Zhongcai Pei, Xiao Song, Baoshuang Ge. access, 7:97641-97652, 2019. [doi]

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