Cooperative Airborne Sensor Platforms for Enhanced Reconnaissance: A Sensor Capability Model
Adrian E. Albert, Sebastian Bening, Peter Stütz · 2024
For airborne Intelligence, Surveillance and Reconnaissance missions a wide selection of sensors which could be used to accomplish the demanded subtasks exist. If several sensors are available, the question arises which sensor is best suited to fulfill the task, or whether a better result can even be achieved through cooperative use. In order to automate this selection process, a sensor capability model that compares the mission objectives with the measured values of the sensors shall be utilized in our research. This paper deals with the definition of such model for the subtasks target localization and target classification. For target localization, it is investigated how a localization task can be solved with different geometric elements. Finally, the cooperation alternatives for target localization are derived by assigning sensor measured variables to geometric elements. The same procedure is applied to the target classification subtask by reviewing the sensor requirements for target classification and the ability of the most common airborne sensors to meet these requirements.