Page Number : 1 <1> Accession Number 005629653 Author Lillard LN. Evans HE II. Spaulding JJ. Institution Ball Aerosp. & Technol. Corp., Fairborn, OH, USA. Title Minimum variance missile launch and impact estimation by fusing observations from multiple sensors. Source 1997 IEEE Aerospace Conference. Proceedings (Cat. No.97CH36020). IEEE. Part vol.3, 1997, pp.309-20 vol.3. New York, NY, USA. Conference Information 1997 IEEE Aerospace Conference. Snowmass at Aspen, CO, USA. IEEE Aerosp. & Electron. Syst. Soc. 1-8 Feb. 1997. Abstract Using minimum variance estimation techniques, we are developing a model-based, post-event missile trajectory and error analysis program called BOOSTR. The program's development has been motivated by a requirement to determine the errors in launch point estimates, and how these errors are affected by fusing data of various types from multiple sensors. BOOSTR's error analysis capabilities are being expanded to estimate errors in determining the missile's position at any point along the trajectory. Inputs to BOOSTR are any combination of range, azimuth, elevation, right ascension, declination, bistatic range, or bistatic range rate from any number of space-, air-, or ground-based sensors having random errors and biases. The program also requires models of the missile, atmosphere, and gravity to compute thrust, aerodynamic drag, and mass. BOOSTR iterates using minimum variance estimation equations to obtain best estimates of missile performance parameters, including launch time, launch latitude and longitude, launch height, launch azimuth, kick angle, burnout time, and sensor data biases. Not all parameters can necessarily be estimated; those which cannot must have a priori variances given to calculate their contribution to the errors. Output from BOOSTR includes a covariance matrix of the search variables which we transform into probability error ellipsoids for the position of the missile at any time from launch to impact. (21 References). Subject Headings Aerospace simulation. Covariance matrices. Error analysis. Gaussian distribution. Iterative methods. Least squares approximations. Linearisation techniques. Military computing. Missile guidance. Modelling. Parameter estimation. Position control. Runge-Kutta methods. Sensor fusion. Target tracking. Key Phrase Identifiers minimum variance estimation techniques; missile launch and impact estimation; missile trajectory and error analysis; model-based post-event program; BOOSTR program; launch point estimates; multiple sensors; data fusing; bistatic range; random errors; thrust; aerodynamic drag; missile performance parameters; launch time; launch latitude; launch longitude; launch height; launch azimuth; kick Page Number : 2 angle; optimal estimation; impact state vector; burnout time; trajectory simulation; nonlinear parameter estimation; sensor data biases; probability error ellipsoids; covariance matrix. Classification Codes Military control systems [C3375]; Aerospace engineering computing [C7460]; Aerospace control [C3360L]; Spatial variables control [C3120C]; Information theory [C1260]; Digital signal processing [C5260]; Error analysis in numerical methods [C4110]; Interpolation and function approximation [C4130]; Military computing [C7150]. Treatment Practical. Theoretical or mathematical. Experimental. Language English. ISBN 0 7803 3741 7. Publication Type Conference Paper. Update Code 199700. Copyright Copyright 1997, IEE. Transmission complete ... Turn off screen capture. Press Enter once screen capture has been turned off.