Dynamic Asset Tasking Technique for Integrated Surveillance Operations

摘要

This report is concerned with the development of a surveillance dynamic tasking tool whose purpose is to demonstrate benefits in terms of enhanced operational effectiveness through the coordinated deployment and control of a suite of surveillance assets. The underlying theory is developed for mathematically representing surveillance information, and the problem of optimising a search operation so as to maximise the information collected stated formally. A technique for solving the problem is proposed using evolutionary programming and a simplified version of the tool has been implemented so as to control sensors and platforms undertaking a simulated search operation in order to demonstrate the feasibility of the approach.