The estimation of launch vehicle performance parameters was explored through the use of a Bayes Filter. The missile dynamics were modeled using a seven state system consisting of the vehicle position and velocity vectors, and the acceleration due to thrust. An assumed solution was used in the model obviating the need for a numerical integration subroutine. The filter was run with two different missile flight profiles. The program produced good approximations of the missile thrust acceleration even through staging events. The results of the Bayes filter were improved with the use of fading memory. The fading memory values were adjusted until the filter closely approximated the missile acceleration values. The filter was able to handle the second missile flight profile without any adjustment in the fading memory and with no degradation of results.


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