Location fusion in land combat models
Washburn, Alan R.
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This document discusses methods for representing and fusing location information in combat models, distinguishing between Monte Carlo and analytic models. The Kalman filter is emphasized as a practical and accurate method for fusing new and old information. One particularly useful Kalman filter, the Maneuvering Target Statistical Tracker (MTST), is dealt with explicitly. Fused information is often represented graphically by ellipses, the equivalent of a Kalman filter's covariance matrix. The connection between elliptical dimensions and kill probabilities is also reviewed.