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Residual-Based RKF with Recursive Measurement Noise Covariance Matching
Chingiz Hajiyev
, Ulviye Hacizade
Department of Aeronautical Engineering
Halic University
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Keyphrases
Measurement Noise Covariance
100%
Robust Kalman Filter
100%
Residual-based
100%
Covariance Matching
100%
Sensor Fault
60%
UAV
40%
Vehicle Dynamics
40%
Noise Measurement
20%
Estimation Accuracy
20%
Estimation Method
20%
Sensor Measurement
20%
Measurement Fault
20%
Kalman Filter Tuning
20%
Fault Scenarios
20%
Constant Bias
20%
Sensor Type
20%
Process Noise Covariance Estimation
20%
Recursive Estimation
20%
Multiplicative Sensors
20%
Engineering
Measurement Noise
100%
Kalman Filter
100%
Recursive
100%
Unmanned Aerial Vehicle
33%
Vehicle Dynamics
33%
Simulation Result
16%
Recursive Estimation
16%