Accession Number:

ADA371089

Title:

Bayesian Sensor Fusion for Minimum-Cost I.D. Declaration

Descriptive Note:

Final rept. Jan-Oct 98

Corporate Author:

INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA

Personal Author(s):

Report Date:

1999-06-01

Pagination or Media Count:

31.0

Abstract:

Current operational procedures for I.D. sensor fusion tend to be rigid, stereotypical, and based on unvalidated assumptions about the performance of specific I.D. discriminant sources, such as QA IFF, NCTR, etc. To be optimum, any I.D. sensor fusion procedure must be explicitly sensitive to several factors. These include 1 the objective performance of the specific sensors in use, 2 the costs of making different kinds of I.D. declaration error, and 3 the friendhostile force ratio at the specific time and place of CID declaration. In this paper we describe an analytic methodology for developing and evaluating an I.D. sensor fusion procedure that is sensitive to these factors and which can be shown to yield the lowest risk I.D. declarations, in the sense of having the lowest expected cost due to errors of all kinds. This approach to fusion analysis allows the performance of individual sensors to be reflected directly in CID effectiveness and allows the connection between individual sensor performance and the overall system performance requirement to be traced. By permitting direct visibility of and access to the often hidden assumptions about force ratio and cost of error, it can promote the development of fusion rules suited to the joint operations and coalition forces environment. Operationally, it would permit I.D. declaration rules to be quickly adapted to the threat, forces, and sensor performance appropriate to a particular theater. It is possible that procedures based on this analysis could be applied within existing and developmental computer-based command and decision systems.

Subject Categories:

  • Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE