Flight path reconstruction using extended kalman filtering techniques

Parameswaran, V and Plaetschke, E (1990) Flight path reconstruction using extended kalman filtering techniques. Technical Report. National Aeronautical Laboratory, Bangalore, India.

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    An algorithm for the flight path reconstruction of state variables and for estimation of unknown constant bias and scale factor errors in measured data using extended Kalman filter and fixed interval smoother - has been developed. The models are based on the six-degree-of freedom kinematic equations relating measured aircraft responses. The technique is demonstrated with the aid of typical examples using flight test data. Also some sensitivity studies on the variation of noise covariance matrices have been carried out. The results of FPR using extended Kalman filter and maximum likelihood methods are presented in this13; document. Finally aerodynamic estimation has been carried out with a simple linear model on differnt data sets namely (i) flight measured data not corrected for bias and scale factor errors, (ii) using EKF corrected data and (iii) using ML corrected data.

    Item Type: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: Extended Kalman filter;Fixed interval smoother;Flight path reconstruction;Post flight analysis
    Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Poornima Narayana
    Date Deposited: 31 Jul 2006
    Last Modified: 24 May 2010 09:47
    URI: http://nal-ir.nal.res.in/id/eprint/2301

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