Detection in strongly nonhomogeneous data and application to airborne RADAR

The constant false alarm rate detection of punctual targets embedded in strongly nonhomogeneous data is a difficult task. Indeed, the standard detection techniques do not allow one to get an appropriate regulation of the false alarm rate. In this manuscript, we present three new solutions for this issue. The developed methods are applied on simulated range/doppler maps that arise on the airborne RADAR context. These three approaches are compared by numerical simulations to the classical detection methods. Compared to the standard techniques and within the scope of the studied model, the proposed solutions allow one to get a better false alarm rate regulation and better detection capacities.