Results 171 to 180 of about 15,890,225 (198)
Some of the next articles are maybe not open access.
2017 Chinese Automation Congress (CAC), 2017
All-time and autonomous satellite navigation plays very important roles in the space technology application. In this paper, a state filter and prediction algorithm combined with a cubature Kalman filter (CKF) and a numerical integration method is proposed to realize the all-time and autonomous navigation for the satellite system.
Jiongqi Wang +4 more
openaire +1 more source
All-time and autonomous satellite navigation plays very important roles in the space technology application. In this paper, a state filter and prediction algorithm combined with a cubature Kalman filter (CKF) and a numerical integration method is proposed to realize the all-time and autonomous navigation for the satellite system.
Jiongqi Wang +4 more
openaire +1 more source
Target Tracking and Multi-Sensor Fusion with Adaptive Cubature Information Filter
2018This chapter presents a noise adaptive cubature information filter based on variational Bayesian approximation (VB-ACIF). This filter can jointly estimate the dynamic state and time varying measurement noise for Gaussian nonlinear state space models. In the framework of recursive Bayesian estimation, the noise adaptive information filter propagating ...
Zhongliang Jing +3 more
openaire +1 more source
Multiple sensor estimation using a new fifth-degree cubature information filter
Transactions of the Institute of Measurement and Control, 2014In this paper, a new class of cubature information filters (CIF) is proposed for multiple sensor estimation. This new CIF generalizes the conventional third-degree CIF to attain higher estimation accuracy using a class of higher-degree cubature integration rules including the fifth-degree Mysovskikh’s spherical rule and the arbitrary degree radial rule.
Bin Jia, Ming Xin
openaire +1 more source
Adaptive Cubature Strong Tracking Information Filter Using Variational Bayesian Method
IFAC Proceedings Volumes, 2014Abstract For most practical nonlinear state estimation problems, the conventional nonlinear filters do not usually work well for some cases, such as inaccurate system model, sudden change of state-interested and unknown variance of measurement noise. In this paper, an adaptive cubature strong tracking information filter using variational Bayesian (VB)
Quanbo Ge +4 more
openaire +1 more source
Adaptive Higher Degree Cubature Quadrature Information Filter for Multiple Sensor Fusion
2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP), 2019This paper presents an improved estimation algorithm suitable for multiple sensor fusion in the critical situation where the sensors remain uncharacterized. The proposed new algorithm for nonlinear information filtering which is developed based on higher degree Cubature Quadrature rule can ensure successful sensor fusion by online adaptation of unknown
openaire +1 more source
Cubature Kalman Filtering Under Information Theoretic Criteria
2023Badong Chen +3 more
openaire +1 more source
High‐degree cubature Kalman filter for nonlinear state estimation with missing measurements
Asian Journal of Control, 2022Zhibin Yan, Xing Zhang, Chen Yunqi
exaly