A maximum likelihood tracker
maximumlikelihoo00conr.pdf (2.664Mb)Abstract
This report deals with the development and utilization of a maximum likelihood tracking algorithm designed to handle a single diffusion target. The tracker is required to accept or reject each of a sequence of discrete position reports, some of which are false alarms. Average tracking time, E(T), is defined and used to evaluate tracker performance. The effects of tracker memory are examined and a Kalman filter is developed to handle the effects of measurement error. Simulation results are included.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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