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Unscented Kalman Filter estimation process. [PDF]
, 2020 Unscented Kalman Filter estimation process.
Sirish Namilae (8537649) +3 more
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Reports on Geodesy and Geoinformatics, 2015 In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
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Fractal and Fractional, 2021 The covariance matrix of measurement noise is fixed in the Kalman filter algorithm. However, in the process of battery operation, the measurement noise is affected by different charging and discharging conditions and the external environment ...
Liping Chen +4 more
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Fault Adaptive Control for RUAV Actuator Failure with Unscented Kalman Filter [PDF]
, 2008 A new fault adaptive control methodology against the actuator failure is proposed. The actuator failure modeling are introduced to denote the actuator healthy coefficients (AHCs) and the unscented Kalman filter (UKF) is employed for on-line estimation of
Qi JT(齐俊桐) +3 more
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Neural Tractography Using an Unscented Kalman Filter [PDF]
, 2009 We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge of confidence in the estimated fiber model.
James G. Malcolm +2 more
openaire +4 more sources
Measurement + Control, 2018 It is critical to measure the roll angle of a spinning missile quickly and accurately. Magnetometers are commonly used to implement these measurements.
Xiaolong Yan, Guoguang Chen, Xiaoli Tian
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Application of unscented Kalman filter in the SOC estimation of Li-ion battery for Autonomous Mobile Robot [PDF]
, 2006 When the Autonomous Mobile Robot(AMR) is popular in unknown environment, accurate estimation of SOC(State of Charge) is becoming one of the primary challenges in Autonomous Mobile Robots research. However, as defects of the Extended Kalman Filter(EKF) in
Yiwen Zhao +3 more
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A Widely Linear Complex Unscented Kalman Filter [PDF]
IEEE Signal Processing Letters, 2011 Conventional complex valued signal processing algorithms assume rotation invariant (circular) signal distributions, and are thus suboptimal for real world processes which exhibit rotation dependent distributions (noncircular). In nonlinear sequential state space estimation, noncircularity can arise from the data, state transition model, and state and ...
Dahir H. Dini +2 more
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IEEE Access, 2016 A quaternion-based attitude unscented Kalman filter is formulated with quaternion errors parameterized by small angle approximations and is applied to a filter with a state vector consisting of the attitude quaternion and the gyro bias vector. The filter
Murty S. Challa +2 more
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UKF-Based Parameter Estimation and Identification for Permanent Magnet Synchronous Motor
Frontiers in Energy Research, 2022 The accuracy of rotor position estimation determines the performance of the sensorless control system of a permanent magnet synchronous motor. In order to realize the accurate control of rotor position and speed, it is necessary to identify the motor ...
Zhiwei Wang +9 more
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