Improved adaptive estimation of noise covariances in design of trajectory tracking filter

Ananthasayanam, MR and Sarkar, AK and Vathsal, S (2002) Improved adaptive estimation of noise covariances in design of trajectory tracking filter. In: AIAA Atmospheric Flight Mechanics Conference and Exhibit 2002, 5 August 2002, United States.

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Abstract

In this paper the post flight trajectory state estimation using adaptive Extended Kalman Filter has been carried out. The Filter tuning has been done by adaptive esti-mation of Initial State, Measurement Noise and Process Noise Covariance Matrices in an iterative fashion. Firstly the proposed method of Filter Tuning has been validated using simulated measurement data of a Tracking Radar. Later the trajectory state estimation of ballistic rock-ets based on real radar track data has been carried out. Performance improvement in the estimation accuracy by the present technique over some earlier techniques is re-ported. Further, the measurement noise covariance of tracking radar estimated from different flight test data is found to be consistent. © 2002 by The American Institute of Aeronautics and Astronautics Inc. All rights reserved.

Item Type:	Conference Paper
Publication:	AIAA Atmospheric Flight Mechanics Conference and Exhibit
Publisher:	American Institute of Aeronautics and Astronautics Inc.
Additional Information:	The copyright of this article belongs to American Institute of Aeronautics and Astronautics Inc.
Keywords:	Covariance matrix; Flight dynamics; Iterative methods; Kalman filters; Spurious signal noise; State estimation; Tracking radar; Trajectories, Adaptive estimation; Adaptive extended Kalman filters; Flight test data; Flight trajectory; Iterative fashion; Measurement Noise; Noise covariance; Trajectory tracking, Radar measurement
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	21 Aug 2020 07:19
Last Modified:	21 Aug 2020 07:19
URI:	http://eprints.iisc.ac.in/id/eprint/66233

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