H
Haoqian Huang
Researcher at Hohai University
Publications - 40
Citations - 545
Haoqian Huang is an academic researcher from Hohai University. The author has contributed to research in topics: Kalman filter & Extended Kalman filter. The author has an hindex of 11, co-authored 40 publications receiving 387 citations. Previous affiliations of Haoqian Huang include Southeast University & Chinese Ministry of Education.
Papers
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Journal ArticleDOI
High accuracy navigation information estimation for inertial system using the multi-model EKF fusing adams explicit formula applied to underwater gliders.
TL;DR: Results show that the proposed method has better accuracy and effectiveness in terms of attitudes estimation compared with other methods mentioned in the paper for inertial navigation applied to underwater gliders.
Journal ArticleDOI
Performance analysis of improved iterated cubature Kalman filter and its application to GNSS/INS.
Bingbo Cui,Bingbo Cui,Xiyuan Chen,Xiyuan Chen,Yuan Xu,Haoqian Huang,Haoqian Huang,Xiao Liu,Xiao Liu +8 more
TL;DR: An improved iterated cubature Kalman filter (IICKF) is proposed by considering the state-dependent noise and system uncertainty, and results reveal that, compared with non-iterated filter, iterated filter is less sensitive to the system uncertainty.
Journal ArticleDOI
Brain-Like Navigation Scheme based on MEMS-INS and Place Recognition
Chong Shen,Xiaochen Liu,Huiliang Cao,Yuchen Zhou,Jun Liu,Jun Tang,Xiaoting Guo,Haoqian Huang,Xuemei Chen +8 more
TL;DR: To improve the place matching speed and precision of the system for visual scene recognition, this paper presents a novel place recognition algorithm that combines image scanline intensity (SI) and grid-based motion statistics (GMS) together which is named the SI-GMS algorithm.
Journal ArticleDOI
Robust cubature Kalman filter for GNSS/INS with missing observations and colored measurement noise.
Bingbo Cui,Bingbo Cui,Xiyuan Chen,Xiyuan Chen,Xihua Tang,Xihua Tang,Haoqian Huang,Haoqian Huang,Xiao Liu,Xiao Liu +9 more
TL;DR: Results of numerical experiment and field test reveal that RCKF is more robust than CKF and extended Kalman filter (EKF), and compared with EKF, the heading error of land vehicle is reduced by about 72.4%.
Journal ArticleDOI
Attitude Estimation Fusing Quasi-Newton and Cubature Kalman Filtering for Inertial Navigation System Aided With Magnetic Sensors
TL;DR: A novel method fusing Quasi-Newton and cubature Kalman filter (QNCKF) is proposed, which has the highest priority in terms of estimation accuracy and computational efficiency among the three methods and is more suitable to be applied to the underwater gliders than the other two methods.