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Small and medium-sized airports are poorly occupied or occupied for a small period of time, hence the remote control towers are a good solution to control air traffic in these airports. A surveillance and monitoring air traffic prototype has been built to test surveillance, control and visualization concepts. The prototype is comprised of a hybrid real-synthetic scenario using augmented reality techniques to evaluate the operation of the surveillance/vision systems, observing the behavior of this system with different targets, backgrounds, inclement weather, etc. and helping the design/experimentation of novel control procedures in the airport area. This allows the analysis of risky situations and the controller training without putting at risk neither people nor material goods.

This paper describes a method to define the performance requirements for Airport Surface Surveillance. The key idea is making the performance specification dependent on the underlying sensor deployment and geometric definition of the scenario, which enables its extension to any operational deployment. The described methodology was used in SESAR technical specifications to provide a shared view of the desired performance for users and industry.