Accession Number : ADP002901

Title :   A Framework for Evaluation of Surveillance Algorithms,


Personal Author(s) : Weiss,J. L. ; Tenney,R. R.

Report Date : DEC 1983

Pagination or Media Count : 5

Abstract : The special structure of surveillance systems has been recognized and exploited in the development of relevant mathematical models for some time. These models provide the necessary relationships for applying probabilistic techniques to surveillance problems and therefore determine the complexity of the resulting solutions. Typically, such solutions are very complex and require unreasonably large amounts of memory. For this reason, various algorithms have been developed which restrict the amount of complexity at the possible expense of system performance. The purpose of this paper is to formulate a mathematical framework in which analytical comparison of these algorithms may be performed.

Descriptors :   *Mathematical models, *Algorithms, *Surveillance, Hypotheses, Data reduction, Monte Carlo method

Distribution Statement : APPROVED FOR PUBLIC RELEASE