Results 261 to 270 of about 8,926,578 (308)

A Carrier Tracking Loop Using Adaptive Strong Tracking Kalman Filter in GNSS Receivers

IEEE Communications Letters, 2020
The Kalman filter (KF) has been widely used in the carrier track to improve the tracking performance of receivers under challenging environments. The KF-based tracking assumes that the noise statistics are exactly known in advance and kept fixed during ...
Yan Cheng, Qing Chang
semanticscholar   +1 more source

Target passive tracking based on Strong Tracking Filter

2010 3rd International Conference on Computer Science and Information Technology, 2010
We put forward Adaptive PLE (APLE) based on Strong Tracking Filter (STF) for bearing and frequency measure in order to rectify the bias of PLE. Furthermore, the APLE avoids filter divergence in that it is not necessary to linearize non-linear measure equation.
openaire   +1 more source

Intelligent MEMS Thermal Mass Flowmeter Based on Modified Sage-Husa Adaptive Robust-Strong Tracking Kalman Filtering

IEEE Sensors Journal
Microelectromechanical system (MEMS)-based thermal flow sensors are well known for their fast response and compact size in gas flow measurement. Nevertheless, these sensors exhibit superior performance at low gas flow rates, encountering significant ...
Xinxin Yan, Lei Zhao, Chendan Tang, Jie Zou, Wanlei Gao, Jiawen Jian, Qinghui Jin, Xin Zhang   +7 more
semanticscholar   +1 more source

Adaptive estimations of tyre–road friction coefficient and body’s sideslip angle based on strong tracking and interactive multiple model theories

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2020
Vehicle dynamic states and parameters, such as the tyre–road friction coefficient and body’s sideslip angle especially, are crucial for vehicle dynamics control with close-loop feedback laws.
Xianyao Ping, Shuo Cheng, Wei Yue, Yongchang Du, Xiang-yu Wang, Liang Li   +5 more
semanticscholar   +1 more source

An Improved Strong Tracking Filter

2011
This paper describes an improved strong tracking filter(ISTF). In this improved algorithm, it ensures the symmetry of forecast error covariance. In addition, an equation of the time-varying fading factor is derived from the orthogonality principle conditions of strong tracking filter.
Wu Wei, Wu Aidi
openaire   +1 more source

Adaptive Human–Robot Interaction Torque Estimation With High Accuracy and Strong Tracking Ability for a Lower Limb Rehabilitation Robot

IEEE/ASME transactions on mechatronics
Accurate acquisition of interactive information is crucial for the effective execution of rehabilitation training. However, due to model and sensor errors, it is difficult to obtain interactive information accurately and quickly.
Xu Liang, Yuchen Yan, Weiqun Wang, Tingting Su, Guangping He, Guotao Li, Zengguang Hou   +6 more
semanticscholar   +1 more source

Improved strong tracking particle filter

2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2019
Aiming at the estimation of the higher nonlinear dynamic system which contains both saltatory states and the condition of likelihood function locating at the tail end of state space, this paper proposes improved strong tracking particle filter(ISTPF) method.
openaire   +1 more source

An Integrated Approach for Vehicle State Estimation Under Non-Ideal Conditions Using Adaptive Strong Tracking Maximum Correntropy Criterion EKF

IEEE Transactions on Vehicular Technology
Accurate acquisition of critical vehicle states is a prerequisite for active safety systems to work properly. However, vehicle sates under non-ideal conditions are usually difficult to be measured directly due to the high cost of sensors.
Shuo Bai, Jingyu Hu, Yongjun Yan, Lilin Shen, Zhangcheng He, Guodong Yin   +5 more
semanticscholar   +1 more source

Recursive Strong Tracking Filtering for Power Harmonic Detection With Outliers-Resistant Event-Triggered Mecha-nism

International Journal of Network Dynamics and Intelligence
Article Recursive Strong Tracking Filtering for Power Harmonic Detection With Outliers-Resistant Event-Triggered Mechanism Xingzhen Bai 1,*, Guhui Li 1, Mingyu Ding 2, Liqun Yu 1, and Yufeng Sun 1 1 College of Electrical Engineering and Automation ...
Xingzhen Bai, Guhui Li, Mingyue Ding, Liqun Yu, Yufen Sun   +4 more
semanticscholar   +1 more source

Adaptive Quantized Estimation Fusion Using Strong Tracking Filtering and Variational Bayesian

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
In this paper, adaptive quantized state estimation fusion is deeply studied. To approach the model mismatching problem induced by random quantization, some quantized Kalman filters have been presented in the previous work, such as the quantized Kalman ...
Quanbo Ge, Zhongliang Wei, Mingxin Liu, Junzhi Yu, Chenglin Wen   +4 more
semanticscholar   +1 more source