Results 141 to 150 of about 1,039 (167)

Adaptive Square-Root Unscented Kalman Filter: Implementation of Exponential Forgetting Factor

2020 6th International Conference on Control, Automation and Robotics (ICCAR), 2020
This paper proposes a new form of adaptive square root unscented Kalman filter that implements an exponential forgetting factor to update the filter. It aims at estimating the states of nonlinear systems without a priori knowledge about the statistics of noises.
Reza Mohammadi Asl, Yashar Shabbouei Hagh, Afef Fekih, Heikki Handroos   +3 more
openaire   +1 more source

A New Adaptive Square-Root Unscented Kalman Filter for Nonlinear Systems

Applied Mechanics and Materials, 2013
This paper describes a new adaptive filtering approach for nonlinear systems with additive noise. Based on Square-Root Unscented Kalman Filter (SRUKF), the traditional Maybeck’s estimator is modified and extended to the nonlinear systems, the estimation of square root of the process noise covariance matrix Q or measurement noise covariance matrix R is ...
Yong Zhou, Yu Feng Zhang, Ju Zhong Zhang
openaire   +1 more source

The gravity estimation with square-root unscented Kalman filter in the cold atom gravimeter

The European Physical Journal D, 2020
In the atomic gravimeter, the interference fringe is obtained by scanning the chirp rate of the Raman lasers to compensate for the gravity induced Doppler frequency shift and then the gravitational acceleration can be obtained by extracting the phase of the atomic interference fringe.
Liuqing Zhang, Yin Zhou, Kanxing Weng, Bing Cheng, Bin Wu, Qiang Lin, Zhenghui Hu   +6 more
openaire   +1 more source

Square Root Unscented Kalman Filter Based on Strong Tracking

2015
To solve the numerical instability in the recursive process of unscented Kalman filter (UKF), as well as the unsatisfactory performance in case of abrupt changes, a new adaptive target tracking method, called square root unscented Kalman filter based on strong tracking (STF–SRUKF), is presented.
Meng Zhao, Xue-lian Yu, Ming-lei Cui, Xue-gang Wang, Jing Wu   +4 more
openaire   +1 more source

Estimating parameters of synchronous generators using square-root unscented Kalman filter

Electric Power Systems Research, 2010
A new method to estimate the parameters of a synchronous generator using the square-root unscented Kalman filter (SRUKF) is presented in the paper. A third-order model for the parameter estimation of both round rotor and salient generators is developed first and then the SRUKF method is applied to the third-order model to perform the joint estimation ...
Miao Huang, Wenyuan Li, Wei Yan
openaire   +1 more source

The square-root spherical simplex unscented Kalman filter for state and parameter estimation

2008 9th International Conference on Signal Processing, 2008
This article presents a variant of sigma-point Kalman filters family called square-root spherical simplex unscented Kalman filter for online Bayesian recursive estimation of the state and parameter of nonlinear systems with non-Gaussian statistics. The algorithm consists of a better-behaved spherical simplex unscented transformation to build the sigma ...
null Xiaojun Tang, null Xiaobei Zhao, null Xubin Zhang   +2 more
openaire   +1 more source

Speed Estimation of Induction Machines Using Square Root Unscented Kalman Filter

IEEE 36th Conference on Power Electronics Specialists, 2005., 2006
The application of a new evolutional EKF algorithm - SRUKF to the speed estimation of induction machines is investigated in this paper. Compared with the EKF, the impacts of the sampling time, the process noise covariance matrix Q and the measurement noise covariance matrix R on the performances of the two Kalman filters are analyzed numerically.
null Jie Li, null Yanru Zhong, null Haipeng Ren   +2 more
openaire   +1 more source

Square Root Spherical Simplex Unscented Kalman Filter for Micro Satellite Attitude Measurement

2010 2nd International Conference on Information Engineering and Computer Science, 2010
A square root spherical simplex unscented Kalman filtering for micro satellite attitude determination was presented. The filter performance was guaranteed and the computation was reduced by means of spherical simplex unscented transformation (SSUT) and modified Rodrigues parameters (MRPs).
Kaichun Zhao, Zheng You
openaire   +1 more source

An UWB/PDR Fusion Algorithm Based on Improved Square Root Unscented Kalman Filter

2019 Chinese Control Conference (CCC), 2019
How to improve the accuracy of indoor positioning is a hot issue in the research of wireless indoor positioning technology. In order to solve the problem that Ultra Wideband (UWB) technology cannot locate accurately under the condition of non-line of sight (NLOS), this paper proposes an indoor positioning method combining UWB and Pedestrian Dead ...
Yuan Liu, Sheng Li, Qiang Sun, Chenfei Chang, Guangjian He, Xiao Kang   +5 more
openaire   +1 more source

Multi-Sensor Data Fusion for a Tethered Unmanned Helicopter Using a Square-Root Unscented Kalman Filter

Unmanned Systems, 2016
The use of tethered Unmanned Aircraft Systems (UAS) in aerial robotic applications is a relatively unexplored research field. This work addresses the attitude and position estimation of a small-size unmanned helicopter tethered to a moving platform using a multi-sensor data fusion algorithm based on a numerically efficient sigma-point Kalman filter ...
Luis A. Sandino, Manuel Béjar, Konstantin Kondak, Aníbal Ollero   +3 more
openaire   +1 more source