Accession Number : ADA324027

Title :   Aircraft Identification, Trajectory Tracking and Prediction.

Descriptive Note : Final rept. Jan 93-Oct 95,

Corporate Author : DETROIT MERCY UNIV MI DEPT OF MECHANICAL ENGINEERING

Personal Author(s) : Cattani, Luis C. ; Eagle, Paul J.

PDF Url : ADA324027

Report Date : OCT 1995

Pagination or Media Count : 88

Abstract : Techniques are presented for improving methods of aircraft identification and trajectory prediction. This work represents an extension of the advanced trackers that use both translation and attitude data to improve accuracy of trajectory tracking and prediction. The novel extension in this work deals with the development of a new tracking algorithm based on a radius of curvature estimator, use of regression based artificial measurements during the prediction interval and development of aircraft identification techniques for vehicles being tracked based on remote trajectory measurements. The procedure was evaluated with actual position and attitude trajectory data for a F-14A, AV-8B and A-6 aircraft acquired during training flights.

Descriptors :   *FLIGHT TRAINING, *IFF SYSTEMS, *TRAINING AIRCRAFT, ALGORITHMS, MEASUREMENT, PREDICTIONS, KALMAN FILTERING, TRACKING, ACCURACY, ESTIMATES, REGRESSION ANALYSIS, IDENTIFICATION, CURVATURE, TRAJECTORIES, REMOTE SYSTEMS, INTERVALS.

Subject Categories : Training Aircraft
      Electrical and Electronic Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE