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contributor authorHu, Wenjun
contributor authorWang, Yujie
contributor authorChen, Qingyang
contributor authorWang, Peng
contributor authorGuo, Zheng
contributor authorHou, Zhongxi
date accessioned2026-08-20T21:14:36Z
date available2026-08-20T21:14:36Z
date copyright2026/03/25
date issued2026
identifier otherJAEEEZ.ASENG-6479.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314171
description abstractAbstractRegarding 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 ...
publisherAmerican Society of Civil Engineers
titleIdentification of Aerodynamic Parameters of Unmanned Aerial Vehicles under Non-Gaussian Measurement Noise
typeJournal Article
journal volume39
journal issue4
journal titleJournal of Aerospace Engineering
identifier doi10.1061/JAEEEZ.ASENG-6479
journal fristpage04026017-1
journal lastpage04026017-12
page12
treeJournal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004
contenttypeFulltext


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