Identification of Aerodynamic Parameters of Unmanned Aerial Vehicles under Non-Gaussian Measurement Noise

Abstract

AbstractRegarding the dependence of the traditional extended Kalman filter (EKF) algorithm on Gaussian measurement noise for identifying aerodynamic parameters in unmanned aerial vehicles (UAVs), an interacting noise model–based extended Kalman filter (...Practical ApplicationsThis research introduces an innovative parameter identification method for UAVs that significantly improves accuracy in noisy environments. Although primarily focused on UAV aerodynamics, the method’s potential applications extend ...