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

    Source: Journal of Aerospace Engineering:;2026:;Volume ( 039 ):;issue: 004::page 04026017-1
    Author:
    Hu, Wenjun
    ,
    Wang, Yujie
    ,
    Chen, Qingyang
    ,
    Wang, Peng
    ,
    Guo, Zheng
    ,
    Hou, Zhongxi
    DOI: 10.1061/JAEEEZ.ASENG-6479
    Publisher: American Society of Civil Engineers
    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 ...
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      Identification of Aerodynamic Parameters of Unmanned Aerial Vehicles under Non-Gaussian Measurement Noise

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314171
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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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