Results 11 to 20 of about 984 (126)

Multi-Sensor Combined Measurement While Drilling Based on the Improved Adaptive Fading Square Root Unscented Kalman Filter [PDF]

Sensors, 2020
In the process of the attitude measurement for a steering drilling system, the measurement of the attitude parameters may be uncertain and unpredictable due to the influence of server vibration on bits.
Yi Yang, Fei Li, Yi Gao, Yanhui Mao
doaj   +4 more sources

Underwater Bearing-Only and Bearing-Doppler Target Tracking Based on Square Root Unscented Kalman Filter [PDF]

Entropy, 2019
Underwater target tracking system can be kept covert using the bearing-only or the bearing-Doppler measurements (passive measurements), which will reduce the risk of been detected.
Xiaohua Li, Chenxu Zhao, Jing Yu, Wei Wei   +3 more
doaj   +4 more sources

Adaptive Square-Root Unscented Kalman Filter Phase Unwrapping with Modified Phase Gradient Estimation

Remote Sensing, 2022
Phase unwrapping (PU) is a key program in data processing in the interferometric synthetic aperture radar (InSAR) technique, and its accuracy directly affects the quality of final SAR data products.
Yansuo Zhang, Shubi Zhang, Yandong Gao, Shijin Li, Yikun Jia, Minggeng Li   +5 more
doaj   +3 more sources

State-of-Charge Estimation of Lithium-Ion Batteries Based on Dual-Coefficient Tracking Improved Square-Root Unscented Kalman Filter

Batteries, 2023
Accurate state of charge (SOC) estimation is helpful for battery management systems to extend batteries’ lifespan and ensure the safety of batteries. However, due to the pseudo-positive definiteness of the covariance matrix and noise statistics error ...
Simin Peng, Ao Zhang, Dandan Liu, Mengzeng Cheng, Jiarong Kan, Michael Pecht   +5 more
doaj   +3 more sources

State-of-Charge Estimation of Lithium-Ion Batteries Based on Fractional-Order Square-Root Unscented Kalman Filter

Fractal and Fractional, 2022
The accuracy of the state-of-charge (SOC) estimation of lithium batteries affects the battery life, driving performance, and the safety of electric vehicles.
Liping Chen, Xiaobo Wu, José A. Tenreiro Machado, António M. Lopes, Penghua Li, Xueping Dong   +5 more
doaj   +3 more sources

An Adaptive Square Root Unscented Kalman Filter Approach for State of Charge Estimation of Lithium-Ion Batteries

Energies, 2017
An accurate state of charge (SOC) estimation is of great importance for the battery management systems of electric vehicles. To improve the accuracy and robustness of SOC estimation, lithium-ion battery SOC is estimated using an adaptive square root ...
Shulin Liu, Naxin Cui, Chenghui Zhang
doaj   +3 more sources

The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds [PDF]

Sensors
Estimating the state of a system by fusing sensor data is a major prerequisite in many applications. When the state is time-variant, derivatives of the Kalman filter are a popular choice for solving that task.
Joachim Clemens, Constantin Wellhausen
doaj   +2 more sources

Square Root Unscented Kalman Filter-Based Multiple-Model Fault Diagnosis of PEM Fuel Cells [PDF]

Sensors
Harsh operating conditions imposed by vehicular applications significantly limit the utilization of proton exchange membrane fuel cells (PEMFCs) in electric propulsion systems.
Abdulrahman Allam, Michael Mangold, Ping Zhang   +2 more
doaj   +2 more sources

Adaptive Square-Root Unscented Kalman Filter-Based State-of-Charge Estimation for Lithium-Ion Batteries with Model Parameter Online Identification

Energies, 2020
The state-of-charge (SOC) is a fundamental indicator representing the remaining capacity of lithium-ion batteries, which plays an important role in the battery’s optimized operation.
Quan Ouyang, Rui Ma, Zhaoxiang Wu, Guotuan Xu, Zhisheng Wang   +4 more
doaj   +3 more sources

AN APPROACH ON ADVANCED UNSCENTED KALMAN FILTER FROM MOBILE ROBOT-SLAM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
In the past 30 years, Kalman filter is a classical method to solve the problem of simultaneous localization and mapping (SLAM) of mobile robots. Extended Kalman filter (EKF) and unscented Kalman filter (UKF) are derived from Kalman filter.
L. Yan, L. Zhao
doaj   +1 more source