Adaptive Strong Tracking Square-Root Cubature Kalman Filter for Maneuvering Aircraft Tracking
A novel strong tracking square-root cubature Kalman filter (SCKF) based on the adaptive current statistical (CS) model is proposed aiming at the maneuvering aircraft tracking problem.
Haowei Zhang +4 more
doaj +4 more sources
Input Forces Estimation for Nonlinear Systems by Applying a Square-Root Cubature Kalman Filter. [PDF]
This work presents a novel inverse algorithm to estimate time-varying input forces in nonlinear beam systems. With the system parameters determined, the input forces can be estimated in real-time from dynamic responses, which can be used for structural health monitoring.
Song X, Zhang Y, Liang D.
europepmc +4 more sources
Research on Near Ground Precision Application Navigation Technology of Plant Protection UAV Based on SRCKF-SLAM [PDF]
The traditional quaternion is used as the description parameter of the nonlinear state model of the aircraft, and the accuracy of the attitude estimation is presented. A square root cubature Kalman filter algorithm based on quaternion is proposed.
Dandan Wang +4 more
doaj +3 more sources
Square Root Cubature Kalman Filter-Kalman Filter Algorithm for Intelligent Vehicle Position Estimate
AbstractA new filtering algorithm, adaptive square root cubature Kalman filter-Kalman filter (SRCKF-KF) is proposed to reduce the problems of amount of calculation, complex formula-transform, low accuracy, poor convergence or even divergence. The method uses cubature Kalman filter (CKF) to estimate the nonlinear states of model while its linear states ...
Duan, Jianmin +3 more
openaire +3 more sources
State of charge (SOC) is a key parameter for lithium-ion battery management systems. The square root cubature Kalman filter (SRCKF) algorithm has been developed to estimate the SOC of batteries.
Xiangyu Cui +4 more
doaj +3 more sources
Research on Pedestrian Indoor Positioning Based on Two-Step Robust Adaptive Cubature Kalman Filter with Smartphone MEMS Sensors [PDF]
With the development of location-based service (LBS), indoor positioning based on pedestrian dead reckoning (PDR) has become a hot research topic. Smartphones are becoming more popular for indoor positioning.
Jijun Geng +3 more
doaj +2 more sources
Sensorless control of PMSM using an adaptively tuned SCKF
This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath +1 more
doaj +2 more sources
Vehicle State Joint Estimation Based on Lateral Stiffness [PDF]
In this study, a vehicle state joint estimation method based on lateral stiffness was applied to estimate the running states of electric vehicles driven by rear-drive, in-wheel motors.
Lingxiao Quan +3 more
doaj +2 more sources
Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device [PDF]
Effective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance ...
Egas Jose Armando +4 more
doaj +2 more sources
Accurate state-of-charge (SOC) estimation of lithium batteries is of great significance for electric vehicles. In this paper, a combined estimation method of multi-innovation unscented Kalman filter (MIUKF) and fractional order square root cubature ...
Likun Xing +4 more
doaj +3 more sources

