Results 271 to 280 of about 8,926,578 (308)

An Adaptive Strong Tracking Volume Kalman Filter Algorithm

Journal of Physics: Conference Series
Based on dental implant technology, this paper studies the position and posture tracking of surgical tools during the treatment of patients. A strong tracking adaptive volume Kalman filter (STF-ACKF) algorithm is proposed to meet the requirements of high
Mengyu Xue, Baolong Liu
semanticscholar   +1 more source

Particle Filter Based on Strong Tracking Filter

2005 International Conference on Machine Learning and Cybernetics, 2005
One of the key issues for particle filter is the proposal distribution. A new proposal distribution, the strong tracking filter (STF) proposal distribution, is presented. The time-varied fading factor in the STF that can be tuned on line makes the algorithm adaptive.
null Xiao-Long Deng, null Wei-Zhong Guo, null Jian-Yin Xie, null Jun Liu   +3 more
openaire   +1 more source

Tracking bandwidth limitations in strong optical-turbulence conditions

Optics Letters
We derive a modified fundamental tracking frequency, which is applicable for beam-control systems that do not employ adaptive-optics compensation. Specifically, we show that when higher-order phase aberrations are appreciably present (when D/r0>4, where D is the aperture diameter and r0 is the Fried parameter), there are diminishing returns on ...
Matthew Kalensky, Darren Getts, Mark F. Spencer   +2 more
openaire   +2 more sources

Strong Tracking Finite-Difference Extended Kalman Filtering for Ballistic Target Tracking

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007
This paper studies the problem of tracking a ballistic target in the reentry phase. We propose an adaptive algorithm, strong tracking finite-difference extended Kalman filter (STFDEKF), for ballistic target tracking in reentry. This method uses polynomial approximations obtained with a Sterling interpolation formula to approximate the derivative of the
null Chunling Wu, null Chongzhao Han
openaire   +1 more source

Robust partly strong tracking consider SDRE filter for direct INS/GNSS integration with biases

Measurement science and technology, 2020
In order to counteract the adverse effects of biases in direct inertial navigation system/global navigation satellite system integration, a novel robust partly strong tracking consider state-dependent Riccati equation filter (PSTCSDREF) algorithm is ...
Tai-shan Lou, Xiao-qian Wang, Hongmei Zhao, Zhi-wu Chen   +3 more
semanticscholar   +1 more source

An Adaptive RK-UKF Projectile Impact Point Prediction Method Based on Strong Tracking Filter

IEEE Asia-Pacific Conference on Antennas and Propagation, 2020
This paper proposes an adaptive RK-UKF projectile impact point prediction (IPP) method based on strong tracking filter. This method processes the trajectory model by unscented Kalman filter (UKF) to avoid linearization error, and by Runge- Kutta integral
Wanyu Jiang, Zhan Wang, Shuangxun Li
semanticscholar   +1 more source

Strong tracking filter based adaptive generic model control

Journal of Process Control, 1999
Abstract Generic Model Control (GMC) is a control algorithm capable of using nonlinear process model directly. Parameters in GMC controllers are easily tuned, and measurable disturbances can be compensated effectively. However, the existence of large modeling errors and unmeasurable disturbances will make the performance of GMC deteriorate.
X.Q. Xie, D.H. Zhou, Y.H. Jin
openaire   +1 more source

A strong tracking particle filter for state estimation

2011 Seventh International Conference on Natural Computation, 2011
One of the algorithmic cores of particle filter (PF) is the proposal distribution. A new proposal distribution combining the unscented Kalman filter (UKF) with strong tracking filter (STF) is presented. The scaling factor is added and is acquired by the techniques in the STF. It can be tuned to make the algorithm reliable and adaptive. In the nonlinear
Xiaolong Deng, JinJun Lu, Rui Yue, null Jianlin Zhang   +3 more
openaire   +1 more source

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

Strong Tracking Filter Simultaneous Localization and Mapping Algorithm

2008 International Conference on Computer Science and Software Engineering, 2008
Simultaneous localization and mapping (SLAM) is a central and complex problem in robot research community. In SLAM, extended Kalman filter (EKF) implementation is widely used to localize the robot and build the environment map incrementally. In this paper, we propose a strong tracking filter (STF) SLAM algorithm. This algorithm applies STF to deal with
Huiping Li, Demin Xu, Yao Yao, Fubin Zhang   +3 more
openaire   +1 more source