Results 161 to 170 of about 2,942 (188)

A Particle Filtering Algorithm Based on Cubature Kalman Filter

2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2021
Based on the Cubature Kalman filter algorithm (CKF) algorithm, we present a new particle filtering algorithm. To construct the importance density of samples, the importance density function is generated by a new framework, in which the state of each particle is predicted according to the concept of CKF.
Hongbo Yu, Qian Cao, Juntian Bo, Shuncheng Tan   +3 more
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Convergence analysis of cubature Kalman filter

2014 European Control Conference (ECC), 2014
This paper investigates the stability analysis of cubature Kalman filter (CKF) for nonlinear systems with linear measurement. The certain conditions to ensure that the estimation error of CKF remains bounded are proved. Then, the effect of process noise covariance is investigated and an adaptive process noise covariance is proposed to deal with large ...
Zarei, Jafar, Shokri, Ehsan, KARIMI, HAMID REZA   +2 more
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Iterated cubature Kalman filter and its application

2011 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, 2011
We present the novel iterated cubature Kalman filter (ICKF) in which the measurement update of square root of cubature Kalman filter (SR-CKF) is refined to iterate process for fully exploiting the latest measurement so as to achieve the high accuracy of state estimation. The ICKF is implemented easily and inherits the virtues of SR-CKF.
Jing Mu, Yuan-li Cai
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Adaptive radial rule based cubature Kalman filter

2015 American Control Conference (ACC), 2015
In this paper, a new adaptive cubature Kalman filter (ACKF) is proposed to improve the performance of the conventional cubature Kalman filter. The ACKF uses a new cubature rule that combines the third-degree spherical rule with the higher degree radial rule along the directions of larger uncertainty.
Bin Jia, Ming Xin
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Performance Comparison of Adaptive Cubature Kalman Filters

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015
The performances of three classical adaptive cubature Kalman filters (ACKFs) for nonlinear stochastic discrete-time system with unknown process noise are investigated. First, filtering theories of the ACKFs are discussed, and then stability analysis and accuracy comparison simulations are performed.
Sisi Wang, Guoqing Qi, Quanbo Ge
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Cubature Kalman Filter based Localization and Mapping

IFAC Proceedings Volumes, 2011
Abstract Simultaneous Localization and Mapping (SLAM) is the process of simultaneously building a map and localizing in it, and can be used for autonomous navigation. SLAM deals with estimation of vehicle states and landmarks. Most SLAM algorithms are based on extended Kalman filters (EKFs).
Kumar Pakki. Bharani Chandra, Da-Wei Gu, Ian Postlethwaite   +2 more
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Desensitized cubature Kalman filter with uncertain parameters

Journal of the Franklin Institute, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tai-Shan Lou, Lei Wang, Housheng Su, Mao-Wen Nie, Ning Yang, Yanfeng Wang   +5 more
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Vehicle State Estimation Using Cubature Kalman Filter

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
The vehicle state is of significant to examine and control vehicle performance. But some vehicle states such as vehicle velocity and side slip angle which are vital to active safety application of vehicle can not be measured directly and must be estimated instead.
Xiaoshuai Xin, Jinxi Chen, Jianxiao Zou
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A cubature Kalman filter with uncompensated biases

2013 6th International Congress on Image and Signal Processing (CISP), 2013
An improved nonlinear filter is proposed in the framework of the cubature Kalman filter (CKF) with uncompensated biases. This filter can be applied for the nonlinear system with unknown random biases, which are unable to be modeled in practical situations.
Xia Ning, Jian Yang
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Cubature Kalman Filter Based on Strong Tracking

2015
To improve the ability of dealing with inaccurate of model and statistic characteristics of noise, as well as the abrupt change of state of cubature Kalman filter (CKF), a new nonlinear filter, called Cubature Kalman Filter based on strong tracking (CKF-ST), is proposed in this paper.
Zhang Cun, Zhao Meng, Yu Xue-Lian, Cui Ming-Lei, Zhou Yun, Wang Xue-Gang   +5 more
openaire   +1 more source