CROPDUSTER: A Model for Evaluating the Common Relevant Operational Picture (CROP)""

Abstract

REPORT DOCUMENTATION PAGE ABSTRACT (Maximum 200 words.)A high-level, low-resolution (HLLR) stochastic model for evaluating the benefits of a Common Relevant Operational Picture (CROP) is described. The model focuses on the sensor-to-shooter information needed by elements of a joint force to engage time critical Targets. The model includes realistic random delays or latency caused by congestion or system unreliability, random times until Target detection and loss, and a probabilistic representation of the Services' overall capability to detect, classify and shoot at a varying set of different Target types. The model results support the following conclusions. CROP can increase the number of time-critical Targets killed, sometimes considerably; CROP can decrease the mean and variance of the number of weapons expended to kill Targets; the benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target. SUBJECT TERMScommon relevant operational picture; time-critical targeting; infinite server queue; decoys and false targets; error-susceptible classification; data fusion NUMBER OF PAGES 50 PRICE CODE SECURITY CLASSIFICATION OF REPORT Unclassified SECURITY CLASSIFICATION OF THIS PAGE Unclassified SECURITY CLASSIFICATION OF ABSTRACT Unclassified LIMITATION OF ABSTRACT CROPDUSTER:A MODEL FOR EVALUATING THE "COMMON RELEVANT OPERATIONAL PICTURE (CROP)" C C R R O O P P D D U U S S T T E E R R