The following publications are possibly variants of this publication:
- Application of Helmert Variance Component Based Adaptive Kalman Filter in Multi-GNSS PPP/INS Tightly Coupled IntegrationZhouzheng Gao, Wenbin Shen, Hongping Zhang, Maorong Ge, Xiaoji Niu. remotesensing, 8(7):553, 2016. [doi]
- Tightly Coupled GNSS/INS Integration with Robust Sequential Kalman Filter for Accurate Vehicular NavigationYi Dong, Dingjie Wang, Liang Zhang, Qingsong Li, Jie Wu. sensors, 20(2):561, 2020. [doi]
- A rule-based parametric modeling method of generating virtual environments for coupled systems in high-speed trainsHeng Zhang, Jun Zhu, Zhu Xu, Ya Hu, Jinhong Wang, Lingzhi Yin, Mingwei Liu, Jing Gong. urban, 56:1-13, 2016. [doi]
- Improving Vehicle Positioning Performance in Urban Environment with Tight Integration of Multi-GNSS PPP-RTK/INSLuguang Lai, Dongqing Zhao, Tianhe Xu, Zhenhao Cheng, Wenzhuo Guo, Linyang Li. remotesensing, 14(21):5489, 2022. [doi]
- Continuous Decimeter-Level Positioning in Urban Environments Using Multi-Frequency GPS/BDS/Galileo PPP/INS Tightly Coupled IntegrationXingxing Li, Zhiheng Shen, Xin Li, Gege Liu, Yuxuan Zhou 0001, Shengyu Li, Hongbo Lyu, Qian Zhang. remotesensing, 15(8):2160, April 2023. [doi]