Results 131 to 140 of about 404 (153)

Adaptive points range Square-root Cubature Kalman filter for mars approach navigation

Proceedings of the 33rd Chinese Control Conference, 2014
The navigation accuracy in approach phase has a significant effect on the successful capture and injection of the Mars spacecraft. On one hand, the perturbation of Mars gravity field on spacecraft's orbit increases when spacecraft gradually approaches the Mars, which results in slow change of the orbit dynamic model.
Xiaolin Ning, Panpan Huang
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Robust square-root cubature Kalman filter based on Huber’s M-estimation methodology

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2014
In practical engineering applications, the performance of the standard cubature Kalman filter (CKF) and its square-root version can be severely degraded due to outliers in measurement or contaminated distribution. In order to address the problem, a robust version of CKF is presented using Huber’s M-estimation methodology and square-root filtering ...
Kailong Li, Baiqing Hu, Lubin Chang, Yang Li   +3 more
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INS/GPS tightly integrated algorithm with Reduced Square-Root Cubature Kalman Filter

2016 35th Chinese Control Conference (CCC), 2016
Focusing on the problem about the real time of nonlinear model's calculation, we propose to use the Reduced Square Root Cubature Kalman Filter (RSCKF) to improve the operating rate of INS/GPS tightly integrated navigation system. This reduced arithmetic simplify the Square Root Cubature Kalman Filter (SCKF) in Time Update step, it directly use the ...
Fei Shen, Shunyi Hao, Xunzhong Wu, Chuang Guo   +3 more
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Suboptimal fading square root cubature Kalman filter based navigation algorithm of UUV

The 27th Chinese Control and Decision Conference (2015 CCDC), 2015
In order to solve the large computing cost and numerical instabilities of autonomous navigation of Unmanned underwater vehicle (UUV). A suboptimal fading square-root cubature Kalman filter (SFSCKF) is designed based on the square-root cubature Kalman filter (SCKF).
Wang Hongjian, Li Cun
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The application of Square-Root Cubature Kalman Filter in the SINS/CNS integrated navigation system

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016
The integrated navigation system can improve the navigation accuracy utilizing the redundant information. The Extended Kalman Filter (EKF) is commonly used in the integrated navigation system. It usually takes only one-order of Taylor expansion and needs to calculate the Jacobian matrix, which will affect the accuracy and numerical stability of the ...
null Dongyang Zhang, null Zhihong Deng, null Bo Wang, null Mengyin Fu   +3 more
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Iterated square root cubature kalman filter with application to tightly coupled GNSS/INS

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016
An iterated filtering method is presented to improve the update stage of nonlinear filtering. First, we develop a generalized iterative framework for sigma point kalman filter by utilizing Gauss-Newton algorithm. A simplified iterated square root cubature kalman filter (SCKF) is proposed with application to tightly coupled GNSS/INS, where the linear ...
null Bingbo Cui, null Haoqian Huang, null Xiyuan Chen   +2 more
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An adaptive square root cubature Kalman filter based SLAM algorithm for mobile robots

2015 IEEE International Conference on Mechatronics and Automation (ICMA), 2015
For simultaneous localization and mapping (SLAM) of mobile robots, an innovative solution is proposed, named adaptive square root cubature Kalman filter based SLAM algorithm (ASRCKF-SLAM). The main contribution of the proposed algorithm lies that: 1) Square root factors are used in the proposed ASRCKF-SLAM algorithm to improve the calculation ...
Jun Cai, Xiaolin Zhong
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Maneuvering Target Tracking Based on Adaptive Square Root Cubature Kalman Filter Algorithm

2012
Concerning low accuracy even divergence of maneuvering target tracking due to inaccurate tracking model and statistical property, an adaptive Square Root Cubature Kalman Filter (SCKF) is proposed based on the standard SCKF and modified Sage-Husa estimator.
Sisi Wang, Lijun Wang
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Robust Linearly Constrained Square-Root Cubature Kalman Filter for Mismatched Nonlinear Dynamic Systems

IEEE Control Systems Letters, 2022
Rayen Ben Abdallah, Gaël Pagès, Damien Vivet, Jordi Vilà-Valls, Eric Chaumette   +4 more
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State-of-charge estimation of lithium-ion batteries based on fractional-order modeling and adaptive square-root cubature Kalman filter

Energy, 2023
Guoyang Cheng
exaly