Evaluating operational effectiveness of AUAVs in search, classification and attack

The problem being addressed is to evaluate the operational effectiveness of AUAVs (Attack Uninhabited Air Vehicles) in the search and classification of and attack on ground targets for non-cooperative and cooperative cases. The non-cooperative cases involve single AUAV single target case, single AUAV multi-target case, multi-AUAV single target case and multi-AUAV multi-target case at unknown locations. For non-cooperative cases, AUAVs independently search, detect, identify and attack a target identified by themselves. For the cooperative case of multi-AUAV multi-target case, communications among AUAVs are allowed to help identify and pursue attacking targets. On the basis of the search theory, the mathematical models of mission performance evaluation for various cases are established and outcome tree for search confusion matrix of a single target or multi-targets is developed. The numerical results of the examples given show preliminarily that the probability of mission success for non cooperative cases begins to drop off rapidly for FTAR>0.01 but it can be greatly improved for cooperative cases.